{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c04fc716-65fb-49ce-8016-87e98cb50524",
   "metadata": {},
   "source": [
    "【1】"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a391dc4b-4190-4d52-9ce3-0d44fdb67334",
   "metadata": {},
   "source": [
    "图形参数说明"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92ad06dd-0a2b-45a1-9446-33f7e8c29328",
   "metadata": {},
   "source": [
    "2、title() 和 supertitle() 方法"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5292d19d-b9ef-4836-9557-4565924c7ef7",
   "metadata": {},
   "source": [
    "在matplotlib中，title() 方法可以在特定配置下同时在子图中显示中间、左侧、右侧3个标题，而 suptitle() 方法则是为整个图形（Figure对象）添加一个全局标题，它不支持在子图中分别显示多个标题。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f4708c0d-db62-46f1-bf6a-02b3254dc467",
   "metadata": {},
   "source": [
    "matplotlib.pyplot.title(label, fontdict=None, loc=None, pad=None, *, y=None,→ **kwargs\r"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2866ba09-245a-4820-8c98-1289233b162a",
   "metadata": {},
   "source": [
    "label: 字符串类型，表示要显示的标题文本"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7cfe9a6d-9666-4e62-9683-442d300041eb",
   "metadata": {},
   "source": [
    "fontdict: 字典类型，用于指定标题文本的字体属性。可以包含字体大小（'fontsize' 或 'size'）、字体样式（'fontstyle'）、字体粗细（'fontweight' 或 'weight'）、字体家族（'family' 或 'fontname'）等。如果为 None，则使用默认字体设置。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e558b31c-64e2-42a1-a9de-e3b4cb53f1b1",
   "metadata": {},
   "source": [
    "oc: 字符串或数字类型，用于指定标题的位置。Matplotlib 提供了多个预设的位置选项，如 'center'（默认）、'left'、'right' 等，也可以通过数字来指定更精确的位置（这些数字对应于 Matplotlib 坐标系统中的位置）。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a055aab0-718d-4825-8638-2350d96dabe8",
   "metadata": {},
   "source": [
    "pad: 浮点数类型，用于指定标题与轴边界之间的填充量（以点为单位）。如果为 None，则使用默认填充量。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "773a36e4-0b55-48b4-8588-935642ea4994",
   "metadata": {},
   "source": [
    "y: 浮点数类型，这是一个较新的参数，用于直接指定标题在垂直方向上的位置（相对于轴顶部）。如果提供了此参数，它将覆盖 loc 参数中垂直位置的设置。注意，这个参数是在较新版本的 Matplotlib 中引入的，可能在旧版本中不可用。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6302494-99ac-4601-a401-368a782b6c9f",
   "metadata": {},
   "source": [
    "**kwargs: 其他关键字参数，这些参数将传递给底层的 Text 对象，允许进一步自定义标题的外观，如设置颜色（'color'）、旋转角度（'rotation'）、透明度（'alpha'）等"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4508f767-53f3-4a2f-aa76-d02fad3ec946",
   "metadata": {},
   "source": [
    "需要注意的是，虽然 title() 函数允许通过 loc 和 y 参数在一定程度上调整标题的位置，但要在单个轴上显示多个标题（如中间、左侧、右侧三个标题）仍然需要一些额外的技巧。通常，这可以通过在轴上使用多个 text() 函数调用并手动设置它们的位置和属性来实现。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fbea9ecb-aa13-474d-8ab2-71a7e448bf38",
   "metadata": {},
   "source": [
    "另外，title() 函数默认是为当前轴添加标题的。如果你有一个包含多个子图的图形（通过 plt.subplots() 或类似方式创建），并且想要为每个子图分别添加标题，你应该在每个子图的轴上分别调用 title() 函数。如果你想要为整个图形添加一个全局标题，你应该使用 fig.suptitle() 方法，其中 fig 是你的图形对象"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7f63c5ad-66f8-4d49-8cd8-2d65a7a4867e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.font_manager import FontProperties\n",
    "\n",
    "np.random.seed(19680801)\n",
    "plt.figure(figsize=(9,8))\n",
    "x_data = ['2013','2014','2015','2016','2017','2018','2019','2020']\n",
    "y_data = [63000,71000,84000,90500,107000,120000,134000,145000]\n",
    "\n",
    "with plt.style.context(['ggplot']):   # 此处可传入列表或单个字符串\n",
    "    plt.plot(x_data,y_data,color='green',marker='o',linestyle='dashed',\n",
    "                   linewidth=2,markersize=12)\n",
    "    plt.xlabel(\"this is x axis\",fontsize=20)\n",
    "    plt.ylabel(\"this is y axis\",fontsize=20)\n",
    "    plt.title(\"this is figure title\",fontsize=20,color='red',loc='left',pad=10.0,\n",
    "              fontproperties=\"Times New Roman\",fontweight=\"normal\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "72c68f2e-2845-4611-8b92-f6a8b4a4f1c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.font_manager import FontProperties\n",
    "fontdict = {\n",
    "    \"fontsize\":20,\n",
    "    \"color\":'red',\n",
    "    \"fontproperties\":\"Times New Roman\",\n",
    "    \"fontweight\":\"normal\",\n",
    "    \n",
    "}\n",
    "plt.title(\"this is figure title\",fontdict=fontdict)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "45fccc49-a74b-42d8-bb0d-c8d4f7df8a4d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.font_manager import FontProperties\n",
    "fontdict1 = {\n",
    "    \"fontsize\":plt.rcParams['axes.titlesize'],\n",
    "    \"color\":'red',\n",
    "    \"fontproperties\":\"Times New Roman\",\n",
    "    \"weight\":\"normal\",\n",
    "    \"ha\":'center',\n",
    "    \"va\":\"top\",\n",
    "    \n",
    "}\n",
    "plt.suptitle(\"this is suptitle\",x=0,y=0.98,fontsize=30,fontdict=fontdict1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31875d96-3f1a-4555-8dc0-b3c9c5a39bd0",
   "metadata": {},
   "source": [
    "为什么上面的上面的代码可以用fontweight而上面的代码不可以用fontweight只能用weight\n",
    "我不明白！\n",
    "我不明白！\n",
    "我不明白！"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "08cc69d6-67d8-4fce-9a6b-66ba78e6a97c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt  \n",
    "  \n",
    "# 创建一个图形（不添加轴）  \n",
    "fig = plt.figure()  \n",
    "  \n",
    "# 设置字体字典  \n",
    "fontdict = {  \n",
    "    \"size\": 20,  \n",
    "    \"color\": 'red',  \n",
    "    \"family\": \"Times New Roman\",  \n",
    "    \"weight\": \"normal\",  \n",
    "}  \n",
    "  \n",
    "# 在图形上设置超标题  \n",
    "fig.suptitle(\"this is suptitle\", fontdict=fontdict)  \n",
    "  \n",
    "# 显示图形（注意：这将显示一个带有超标题但没有轴的图形）  \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de8fdbb3-6e52-4667-9810-46ffcaf735eb",
   "metadata": {},
   "source": [
    "为什么上面这个代码连fontsize都不可以只能size"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ea79f6d-e6cc-4b40-8895-e805af47eb56",
   "metadata": {},
   "source": [
    "3、xlabel() 和 ylabel() 方法"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6766c41-efe1-49a1-ae67-3ba232256d83",
   "metadata": {},
   "source": [
    "在 pyplot 模块中可以使用 xlabel() 和 ylabel() 函数设置 x 轴 y 轴的标签。这两个函数的使用方法非常\r\n",
    "相似\r\n",
    "使用 xlabel() 设置 x 轴标签，ylabel 设置类似"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfb491a1-0807-4269-a1ae-1a51e817b986",
   "metadata": {},
   "source": [
    "matplotlib.pyplot.xlabel(xlabel, fontdict=None, labelpad=None, *, loc=None,→ **kwargs\r"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "797e6d15-e8bc-4157-b34b-ccd437d94576",
   "metadata": {},
   "source": [
    "xlabel: str\r\n",
    "这是一个字符串参数，用于指定x轴的标签文本"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50437c54-3527-4ddf-90e2-8d86073369f1",
   "metadata": {},
   "source": [
    "fontdict: dict, optional, default: None\r\n",
    "这是一个字典参数，用于指定标签文本的字体属性。你可以在这个字典中设置字体大小（fontsize）、字体颜色（color）、字体家族（family）、字体粗细（weight）等。如果设置为None（默认值），则使用当前的字体设置"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a6f5c33-4a43-497e-adf1-8647b4fcdf1f",
   "metadata": {},
   "source": [
    "labelpad: float, optional, default: None\r\n",
    "这个参数用于设置标签与轴之间的距离（以点为单位）。如果设置为None（默认值），则使用当前的标签填充设置"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e39a0fd-8e7a-4ec0-b6c9-3815a56eb056",
   "metadata": {},
   "source": [
    "loc: {'center', 'left', 'right'}, optional, default: None\r\n",
    "这个参数用于设置标签的位置。'center'表示标签位于轴的中心（默认值，如果loc未指定且axis为'x'）；'left'和'right'分别表示标签位于轴的左侧或右侧。需要注意的是，loc参数是位置参数（positional-only argument）的后续参数（也称为关键字参数），这意味着它必须明确通过关键字来指定。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e054c6df-04e4-44fd-9bfb-35ac98ec4710",
   "metadata": {},
   "source": [
    "**kwargs:\r\n",
    "这些是额外的关键字参数，它们将被传递给底层的Text对象。这意味着你可以使用任何Text对象接受的属性来进一步自定义标签的外观，比如rotation（旋转角度）、horizontalalignment（水平对齐方式）、verticalalignment（垂直对齐方式）等。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "5914043f-3e6c-4fd2-8671-8871b9850313",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "plt.figure(figsize=(9,8))\n",
    "x_data = ['2013','2014','2015','2016','2017','2018','2019','2020']\n",
    "y_data = [63000,71000,84000,90500,107000,120000,134000,145000]\n",
    "with plt.style.context(['ggplot']):   # 此处可传入列表或单个字符串\n",
    "    plt.plot(x_data,y_data,color='green',marker='o',linestyle='dashed',\n",
    "                   linewidth=2,markersize=12)\n",
    "    plt.xlabel(\"this is x axis\",fontsize=20,loc='left',color='cyan',\n",
    "              fontproperties=\"Times New Roman\",backgroundcolor='grey',bbox=dict(facecolor='red',\n",
    "                                                                              alpha=0.5))\n",
    "    plt.ylabel(\"this is y axis\",fontsize=20)\n",
    "    plt.title(\"this is figure title\",fontsize=20,color='red',loc='left',pad=10.0,\n",
    "              fontproperties=\"Times New Roman\",fontweight=\"normal\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "8ad9f49f-fcc6-4701-bdfd-56e7675390ce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt  \n",
    "  \n",
    "# 创建一个简单的折线图  \n",
    "plt.plot([1, 2, 3, 4], [1, 4, 9, 16])  \n",
    "  \n",
    "# 设置x轴标签  \n",
    "plt.xlabel('This is the x-axis label',  \n",
    "           fontdict={'fontsize': 14, 'color': 'blue', 'family': 'serif', 'weight': 'bold'},  \n",
    "           labelpad=10,  \n",
    "           loc='center')  \n",
    "  \n",
    "# 显示图表  \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab23e342-7b29-46fe-b9a9-171d56808ae0",
   "metadata": {},
   "source": [
    "4.autoscale(),xlim(),ylim() 方法"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed3614ea-a6ef-4e3a-b008-d7daed3bdd6d",
   "metadata": {},
   "source": [
    "matplotlib 默认根据数据系列自动缩放坐标轴范围。pyplot 模块中的 autoscale 函数可以切换是否自动缩\r\n",
    "放坐标轴范围 xlim() 和 ylim() 函数可手动设置坐标轴范围。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f941aaa1-2173-4cd1-ac7a-e126748e6f69",
   "metadata": {},
   "source": [
    "matplotlib.pyplot.autoscale(enable=True, axis='both', tight=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "934e8751-2b0c-44c0-ad7d-6aaece25f447",
   "metadata": {},
   "source": [
    "enable：布尔值，默认为 True。如果设置为 True，则启用自动调整轴限的功能；如果设置为 False，则禁用此功能"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ba61493-ea92-4cd5-8fa0-d74b85b4a9c8",
   "metadata": {},
   "source": [
    "axis：字符串或字符串列表，默认为 'both'。这个参数指定了要自动调整轴限的轴。可能的值有 'x'（仅调整x轴）、'y'（仅调整y轴）或 'both'（同时调整x轴和y轴）。如果传入的是字符串列表，比如 ['x', 'y']，也可以达到同时调整两个轴的效果"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5ddb817-0c2a-4f6c-b6e7-69cd16ad149c",
   "metadata": {},
   "source": [
    "tight：布尔值或浮点数，默认为 None。这个参数用于控制轴限的“紧凑”程度。如果设置为 True，则尝试将轴限设置为尽可能紧凑，以最小化空白区域，但可能会裁剪掉一些数据点边缘。如果设置为 False，则轴限可能会包含更多的空白区域，以确保所有数据点都被完全显示。如果设置为浮点数，则这个值会被用作 matplotlib.pyplot.margins 函数的 x 和 y 参数的值，允许用户更精细地控制轴限周围的空白区域大小。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df9518e4-2f61-47c7-b19b-17b0b7a73e55",
   "metadata": {},
   "source": [
    "matplotlib.pyplot.xlim(*args, **kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4cb667c2-14c3-47bc-b2cc-0cb29c28d4f8",
   "metadata": {},
   "source": [
    "*args：\r\n",
    "如果只传入一个参数，这个参数将被解释为范围的上限（最大值），而下限（最小值）将自动设置为 0（对于数值轴）或当前数据的最小值（如果设置了 autoscale_on=True）。\r\n",
    "如果传入两个参数，第一个参数将被解释为范围的下限（最小值），第二个参数为上限（最大值）。\r\n",
    "如果不传入任何参数，则函数将返回当前的 x 轴范围（作为一个元组，包含最小值和最大值）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95f13639-c81c-47cb-9e04-1439f665edb8",
   "metadata": {},
   "source": [
    "**kwargs：\r\n",
    "left 或 xmin：用于设置 x 轴范围的下限（最小值）。\r\n",
    "right 或 xmax：用于设置 x 轴范围的上限（最大值）。\r\n",
    "emit：布尔值，默认为 True。如果设置为 False，则在设置范围时不会触发任何回调函数（例如，不会重新绘制图形）。\r\n",
    "auto：布尔值或 None，默认为 None。如果设置为 True，则启用自动调整 x 轴范围的功能（相当于调用 autoscale_view 方法）。如果设置为 False，则禁用自动调整。如果为 None，则不会改变当前的自动调整状态。\r\n",
    "invert：布尔值，默认为 False。如果设置为 True，则反转 x 轴的范围（即最小值变为最大值，最大值变为最小值）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "cff6ff5c-f10f-4c53-a9b3-a5b1df7e4cec",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n",
      "False\n",
      "False\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "t = np.arange(0.0,2.5,0.01)\n",
    "s = 1 + np.sin(2 * np.pi * t)\n",
    "\n",
    "plt.figure()\n",
    "\n",
    "plt.plot(t,s)\n",
    "plt.xlabel('time(s)',labelpad=10,loc='center',fontsize=15,color='cyan',\n",
    "          fontproperties=\"Times New Roman\",backgroundcolor='grey') # 设置x轴标题\n",
    "plt.ylabel('voltage(mV)',labelpad=10,loc='center',fontsize=15,color='cyan',\n",
    "          fontproperties=\"Times New Roman\",backgroundcolor='grey')\n",
    "plt.title('about as simple as it gets,folks',fontsize=15,color='cyan',\n",
    "          fontproperties=\"Times New Roman\",backgroundcolor='grey')\n",
    "plt.xlim(left=0,right=2.5)\n",
    "plt.ylim(0,2)\n",
    "print(plt.gca().get_autoscale_on())\n",
    "print(plt.gca().get_autoscalex_on())\n",
    "print(plt.gca().get_autoscaley_on())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ed06c7c-bdcd-4e8d-bb81-af3be5fa748d",
   "metadata": {},
   "source": [
    "5.grid() 方法"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "830752f8-6954-4619-8a26-9e2421a0966e",
   "metadata": {},
   "source": [
    "grid() 函数用于设置绘图区网格线"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9d4121b-eff0-4843-a9f4-277c378070d9",
   "metadata": {},
   "source": [
    "matplotlib.pyplot.grid(b=None, which='major', axis='both', **kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f41daa20-a843-47aa-8582-5db8e857627a",
   "metadata": {},
   "source": [
    "b：布尔值或 None，默认为 None。如果为 True，则启用网格线；如果为 False，则禁用网格线。如果为 None，则切换当前网格线的状态（如果网格线已启用，则禁用；如果已禁用，则启用）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c44503a9-11d7-483f-8bd5-f94639a3237f",
   "metadata": {},
   "source": [
    "which：字符串或字符串列表，默认为 'major'。指定要显示网格线的刻度类型。可能的值有 'major'（仅显示主刻度网格线）、'minor'（仅显示次刻度网格线）或 'both'（同时显示主刻度和次刻度网格线）。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7907bd5-e981-4503-a209-42961119550f",
   "metadata": {},
   "source": [
    "axis：字符串或字符串列表，默认为 'both'。指定要添加网格线的轴。可能的值有 'x'（仅对x轴添加网格线）、'y'（仅对y轴添加网格线）或 'both'（同时对x轴和y轴添加网格线）。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e376f26-ca5a-471d-b4c2-134b46c15045",
   "metadata": {},
   "source": [
    "**kwargs：其他关键字参数，这些参数将传递给 Line2D 构造函数，用于控制网格线的样式。例如，color、linestyle、linewidth 等。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "035094eb-5cbc-4877-a615-636d5565503f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ao0eP4v7778f69etx+vRprF+/Hvfddx+OU1ZiQgghhExRSOwu7OjoQGJiIg4ePIgVK1aMes1//Md/4KOPPkJ1dbXnto0bN+L06dM4evQoAOD++++HwWDAZ0Nyx9x8882IiYnBtm3b/PsiCPES7S4koYx2FxIhC4k1WXr3bpjYIVmFr3X06FGsveYw05tuugmvv/46bDYbIiIicPToUTz99NMjrtmyZcuYj2uxWGCxWDy/O51OdHd3Iy4uDowAdy8R4TGZTHwXgRC/MZlMMExwYgEhvsCyLIxGI1JTUyGa5hFYHMEHWSzLYtOmTbjuuuswe/bsMa/T6XRISkoadltSUhLsdjs6OzuRkpIy5jU6nW7Mx3322Wfx61//enovgpBp0Gg0eOKJJxDhzuBOSKiw2WxYuHChpyNNSCC0tLQgPT3dJ48l+CDriSeewJkzZ3D48OEJr712ZImbKR16+2jXjDcitXnzZmzatMnzu16vR2ZmJpqamsYdWQsGLMviT/sv4tWDFwEAc9I0eGpVHhZkxyBCLEKP2Yr3TrXg9UNNMFkciFdK8ef1pShInt5hwYFis9mwZ88erF27NuQDEIPBgP7+fr6LMSa73Y5jx45hyZIlkEiC/2unqcOE3+6qhn7ADoVUjLsWpOGGgiSo5BLYHSyqtQb88+tmNHa4RhG/vTADdy3wzZeyvwnpvYiMjMQzzzzDdzH8RmjfUQM2B3664wz2VbcDAFYXJeKHK3ORl6gCwwCtPf3429FLePfEFdidLIpT1HjlgQWIU8p4LvnkdHd3IycnByr3kVu+ENw1bAI/+tGP8NFHH6GiomLCqDM5OXnEiFR7ezskEgni3OeDjXXNtaNbQ8lkMshkIz9AKpUKanVwByP/81kNXjumhUimwFOr8/DkqrxhAaVaDfz7rfF4YHkRvv/G16jRGfGDt87jvY1LUZDsuw+hv9hsNigUCqjVakF8gU1HsH/WbDYb6urqMHPmzKB/L85f1WPTm40w2TWYlanGXx9eiESVfNg1RYXAndeX4vm9dXhpfwNeqexDRIwTm9YW8FTqyRPSexHqhPQdZXc48cTfTqCi0QS5Qokt356PW+YMXyun0WjwXHYyvntdLx7e+g1quq3YsO083v/hMmgUwf36ANf7AYwcbJkOQe4uZFkWTzzxBHbu3Ikvv/wSOe7Db8dTXl6OvXv3Drttz549KCsr83y4x7pmqftA01DyyZmrnhGs39wxC0+tzh/zg5WklmP7o+VYkBkN44AdG988CcOAcBI4EjJZvX1WbHzzJEwWOxblxGLbo0tGBFgckYjBT24qwK9uKwYA/PHLBuw+P/bSAkKE7P/bU4uKug5ERoix9eGFIwKsoeZlROO9jeVI0cjR2GHGpneq4HQKfo+dVwQZZD3++ON488038dZbb0GlUkGn00Gn0w2bLtm8eTMefPBBz+8bN27E5cuXsWnTJlRXV+ONN97A66+/jp/85Ceea5588kns2bMHzz33HGpqavDcc89h3759eOqppwL58vyuvs2IZ947AwD4t+tn4MHy7Anvo1FE4H8fLEOqRo6mTjM2bT8dtpWGhCank8XT26vQ0t2PjNhIvLa+FGr5xL3vH1yXgx8sc3X0/v2d07jYQRsRSGj5/JwWfz7YCAD4/+6di6Uz4ye8z4wEJf73wTLIJCJ8UdOOF79s8Hcxg5Igg6xXXnkFer0eK1euREpKiudn+5AT67VaLZqbmz2/5+TkYNeuXThw4ADmz5+P//7v/8Yf//hH3H333Z5rli5dirfffht//etfMXfuXGzduhXbt2/H4sWLA/r6/MnucOKp7VXoszqwNDcO/2cK0xtxShleeaAUUrEI+6rb8M6JFj+WlJDA+ufxy9hf2wGZRIRXHyhFtEI66ftuvqUQi7JjYbLY8e/vUAeEhI5OkwX/seMsAOCR63Jw29zUSd93dpoG/8+drg1pW76ow9kr4beBQZBrsiaT2mvr1q0jbrv++utx6tSpce93zz334J577vG2aEHvH8cu4/xVA1RyCbZ8ez4k4qnF2fMyovF/birA/7urGv/zeQ3WzkpGbNTkGyNCglG7cQD/d7fr1IjN6woxK1UzpftHiEX443dKsPr5g6hq6cW2b5rxvcVZ/igqIQH1213V0PfbUJyixn+sK5zy/e8ty8Ch+k58dPoqfv7BWbz/2DKIReGT3kiQI1nEO22GAfx+Tx0A4JmbC8dcazKRh5ZlozBZhd4+G57dVT3xHQgJcr/9tBrGATvmpGmwfhLT56NJ1sixaU0+AOC5z2rQabJMcA9Cgtuxxi7sPNUKhgH+33+ZjYgpdso5v7itCCqZBGeu6PHW8cs+LmVwoyArjDz3eQ1MFjvmpWvw3UWZXj9OhFjkGQJ+9+QVVLX0+qiEhATeiUvd+KDqqqchmU4v+8HyLBSnqGEYsON3uyc+T5WQYOV0svivj84DAL6zKBMlmTFeP1aiSo6f3ORamvJ/d9eit8/qkzIKAQVZYeJihwkfVLYCAH59x/QaEgAoy47FXSVpAIAX9tZNu3yE8OV59+f3/rIMzE2PntZjScQi/OaOWQBcHZDmrr7pFo8QXnx6VosanREquQTP3DT91CQPLMlCYbIKxgE7Xj/c5IMSCgMFWWHij1/Uw8m6ksfNz4j2yWM+uToPYhGDg3UdOHm5xyePSUggHW/swpGLXYgQM/jRqjyfPGZZdixW5CfA4WTx4pf1PnlMQgLJ4WTxhy9cn91HrpsxpU0gYxGLGDy12lXH/vrVpbAZzaIgKww0tBvx0emrAICnVuf77HGz4qI8o1lb9tFoFhGeF9yf2/vKMpAWHemzx33a3ZjsrGzFpU6zzx6XkED45MxVNLSboJZL8PB12T573LXFyShKUcNkseN/DzX67HGDGQVZYeDl/RfBssDa4iTMTpvarqmJ/OjGPEhEDA7Vd9LaLCIo31zqxrHGbkjFIjx+w0yfPnZJZgxWFrhGs14+EJ75gYgwuY5bc31m/3X5jEnlipsskYjxdEC2fnUJ+v7QT2pNQVaIazcO4OMzrlGsJ270bUMCAJlxCnxrvitvytavwmeenQjfX92f17sWpCHVh6NYnCfcgdsHVVfRbQ6PqREifF81dKGuzYQoqRjfX5bt88dfU5yEgiQVzFYH3g2DXIsUZIW4t443w+ZgUZoVM+1FvWN5eKkr2/WnZ7VoNwz45TkI8aXW3n7sPt8GwJWSxB9Ks2IwJ00Dq92JbV83T3wHQoLA1iOuzse9ZRk+HcXiMAzjqXN/P3oZjhBP3EtBVgiz2B1485jry/2hpdl+e5456RqUZcXA5mDx5nFqTEjwe/OY68u9fEYcCpP9c7g2wzCeevfmscuwOZx+eR5CfOVylxlf1LQDcKUj8Zc756dBExmB5u4+fOl+vlBFQVYI23VWi06TBUlqGW6enezX5+J6Jm8dvwyL3eHX5yJkOgZsDs/Ikr9GsTi3zUtBvFIKrX6ADo8mQe9vRy6DZYGVBQmYkaD02/NESsX49qIMAIPT9qGKgqwQ9pZ7VOmBxVleZ+qdrJtmJSNZLUenyYq9F9r8+lyETMdn57To7bMhLToSq4uS/PpcMonYk/iXpgxJMBuwOfDeSdcaqe/7ceaDs35JFkQMcORiV0jvwKUgK0Rd6jTjm0s9EDGuuXV/ixCLcE9pOgDg3RNX/P58hHiL+3zeV5YRkDPUuPp35GIXrvRQclISnPZeaINhwI5UjRwr8hL8/nzpMQosdz/PjlOh22ZQkBWiuA/t8rwEJGu8O6Nwqu52B1mH6jug09MCeBJ8rvT04cjFLgDA3aVpAXnOjFgFymfEgWWBnadaA/KchEzVeyddbcZdC9IDdoAz1zHfcfIKnCG6AJ6CrBDkcLLY4a4w95alB+x5c+KjsDA7Bk4WeL+SGhMSfLggZ2luHNJjFAF7Xq4evnfyClg2NBsTIlw6/QAO1XcAGAx8AmFNcRLUcgmu6gc8nZ9QQ0FWCDp6sQtX9QNQyyV+X3NyLc+U4ckWakxIUHE6WU9vPZCdDwC4eXYylDIJmrv78HVTd0Cfm5CJ7Ky8AicLLMyOQXZ8VMCeVx4h9uRZ5NaDhRoKskLQTvdU4bfmp0IeIQ7oc986NxWREWI0dphx+oo+oM9NyHhONvegubsPSpkEN89KCehzK6QS3DrH9Zw0ZUiCCcuyns9kIEexOPeWutYsfn5eB7PFHvDn9zcKskLMgM3h2d33LyWBWXMylFImwepi1+jZp+5M84QEg0/PaAG4dsJGSgPb+QCAO0pcPfbPz+soZxYJGnVtJjS0myAVi7BuTmA7HwAwN12DnPgoDNicnhxdoYSCrBBzqL4TRosdKRo5SjJieCkD12P/9IyWpgxJUHA4Wew66wqybpsb+IYEABbnxCFeKYW+34avGjp5KQMh1+I6wyvyE/yS4X0iDMMMaTNCr2NOQVaI4T6kt8xJgShAO0SutbIgAVFSMa7qB1BJh0aTIHDiUjfajRao5RIsmxnPSxnEIgbrZg92QAjhG8uy+ITnzgcA3Op+7v21HTCF2JQhBVkhZOhU4S08DPty5BFirHIvuN9FjQkJAp+6G5K1s5IhlfD3tcc1JrvP62C105Qh4VdtmxGNHWZIJSKsKkrkrRyFySrMiI+C1e7EF9WhlcyagqwQcrCuA2arA6kaOUoyonktC9eY7DqrDdn8J0QYXFOFriNtbuWxtw4AC7NjkaCSwTBgpylDwjtuRPX6/ASoeJgq5DAM46mbn4RYx5yCrBDymbu3vo7HqULO9fkJUMpc+U9OX+nltSwkvJ241I1OkwWayAgsy+VnqpAjFjG4xX2OKLdGjBC+cJ/BW3mc+eBwQdbBEJsypCArRNgcTs9p5v4+DHoy5BFiXF/gOjJhX4gN/xJh4T5/qwoTeZ0q5Nw0y1U/v6xph4NGeQlPGjtMuNhhhkTE4EYepwo5BUkqZMUpYHU4cdidGDUU8P+NQ3zixKUeGAbsiFFEYEEmP7sKr7XGvS5r34XQ25ZLhGNftevzx6UW4dvCnFio5BJ0ma2oaunhuzgkTH3hrhdLZsTxsqvwWgzDeJJn7w2hNoOCrBDBLRa8sTApYOdOTWRlQQLEIga1bUa0dNPBuCTwLnaY0NRphlQswop8/x96OxkRYhFWFrhGDrgAkJBA40Z4VwfBKBaHC7L214bOKC8FWSGAZVnsdVeYNcXBU2GiFVIszHaNqtGUIeHDPvdu2yW5cVDKJDyXZhDXsHHlIySQesxWnLjsGkVdFeCj18ZTlh0DTWQEus1WVDaHxigvBVkh4GKHCZe7+iAVi7A8Lzh66xyuZ0JBFuFDMPbWAWBlfiIkIgb17SZc6jTzXRwSZg7UuUaKCpNVyIgN3EHpE3GN8rrasL0h0mZQkBUCuPnr8tw4RAVRbx0Y7CUdb+yGvt/Gc2lIOOk2W3EyCHvrAKBRRGBhdiwA6oCQwOPWya4OsnoBDOmYh8goLwVZIeBAravC8JlMbiw58VHITYiC3cniCOUFIgF0qL4DTtaV6DAtOpLv4ozA1deDdaGzk4oEP7vDiQr37r1g2FV4revda3kvdphDYi0vBVkCZxyweXrr1wfJwt5rcQuOqTEhgXSw1vV541KJBBtuWuR4Uzf6rQ6eS0PCRVVLL4wDdkQrIjAvPZrv4oyglkdgQWY0gNBoMyjIErijF7tgd7LIjlMgKy6K7+KMigv+Kuo66MBoEhBOJ4uKetfIabB2PnITlEjVyGG1O3GsqYvv4pAwUeEOXK6bGR80O9GvNbTNEDoKsgSOG/YNlu3po1mcEwepRISr+gE0tJv4Lg4JA9U6AzpNFiikYpRlxfJdnFExDOMZZQuFxoQIAzc6FKydD2CwPTtysQs2h7DP+KQgS8BYlvVUmBVBtqtwqEipGItzXA1dKAz/kuDHfc7KZ8QFRZb3sXD1luoFCYRusxVnWvUAgrtjPjtVg9goKUwWO05dFnYqh+D99iETutTVh5bufkSIGZTnxvFdnHFdT+uySABxI0PBuh6Ls9Q9ZdPYYcaVHuEv8iXB7VB9B1j3ZpAktZzv4oxJJGKwPM91zmiFwI/YoSBLwLiGpCwrNuhSN1yL6zXRIl/ib2aL3bMZJJhHeAFAExmBkoxoAEBFHe2+Jf7FfcaCeaqQw9VdodcLwQZZFRUVuP3225GamgqGYfDBBx+Me/1DDz0EhmFG/MyaNctzzdatW0e9ZmBgwM+vxjuH3SkRlufH81ySieUlKpGsdi3yPSnw4V8S3L5u6obNwSIjNhLZ8cG5GWQorgPyFaU4IX7EsqznMxZsSatHw7Vr567q0WO28lwa7wk2yDKbzZg3bx5eeumlSV3/hz/8AVqt1vPT0tKC2NhY3HvvvcOuU6vVw67TarWQy4NvWNXucOJYo2tH0nUzgz/IYhgGS2e6pjS/ukiNCfEfriERQr0AgGXuenHkYiecIXJeGwk+jZ1m6AwDkEpEKHMfdxbMElVy5CcpwbLwtHVCFNxzTONYt24d1q1bN+nrNRoNNBqN5/cPPvgAPT09ePjhh4ddxzAMkpOTfVZOfzl/1QDjgB0quQSzUjUT3yEILM2Nx85TrThyUbgVhgQ/7vNVniuMIGtuejQUUjF6+myo0RlRnKrmu0gkBHH1ojQzBvIIMc+lmZylufGoazPhyMUurJuTwndxvCLYkazpev3117F69WpkZWUNu91kMiErKwvp6em47bbbUFlZOe7jWCwWGAyGYT+BwFWYJTPigjbXybW4xflnr/TCMEBH7BDf6zFbcUHrqoPlM4J7MwgnQizCIvfu2yM0ykv85Kj7s7U0yDdJDcW1GUKuF2EZZGm1Wnz22Wd45JFHht1eWFiIrVu34qOPPsK2bdsgl8uxbNky1NfXj/lYzz77rGeUTKPRICMjw9/FBzD4oRNShUmLjkR2nAJOFvi6sZvv4pAQxE0r5CcpkaCS8VyayePq8VEa5SV+4HSyns8Wt2xDCJbkxIFhgIsdZrQZgnNt9ETCMsjaunUroqOjceeddw67fcmSJXjggQcwb948LF++HO+88w7y8/Px4osvjvlYmzdvhl6v9/y0tLT4ufSAxe7AN5dcQcpSgUyJcLgpHJoyJP7Afa6EVi+48h5v6oZd4MkXSfCp0RnR02eDQirG3CA8SmcsGkUEZruXwwi1AxJ2QRbLsnjjjTewfv16SKXSca8ViURYuHDhuCNZMpkMarV62I+/VTX3YsDmRLxSivwkpd+fz5eGLvIlxNeEOMILAMUpamgiI2Cy2HHWnSySEF/h6sWinFhEiIXV7C8VeJshrL+2Dxw8eBANDQ3YsGHDhNeyLIuqqiqkpATXgruhC3sZRhjrsThL3OtkanRGdJksPJeGhJI2wwAudpghYoDFAlmPxRGJGM8aMhrlJb7mmSoUWOcDGBzl/apBmPVCsEGWyWRCVVUVqqqqAABNTU2oqqpCc3MzANc03oMPPjjifq+//joWL16M2bNnj/i3X//619i9ezcaGxtRVVWFDRs2oKqqChs3bvTra5mq403covfgPJNtPPFKmWf0jZvyJMQXjje5Pk/Fqa5RIaHh6jP3OgjxBYeTxdfu79olAut8AEBZVgzEIgatvf2CPBVBsEHWiRMnUFJSgpKSEgDApk2bUFJSgl/96lcAXIvbuYCLo9frsWPHjjFHsXp7e/Hoo4+iqKgIa9euRWtrKyoqKrBo0SL/vpgpsNgdqGzuBQDPeYBCw+2kosaE+NLX7s7HomzhNSQAsCjHVe6Tl2hdFvGdGp0r3U+UVIziFOGlB4mSSTA7zbUuS4gdc8HmyVq5ciVYduzEfVu3bh1xm0ajQV/f2JHwCy+8gBdeeMEXxfObc616WOxOxEZJkZsgrPVYnEU5cXjzWDO+piCL+BD3eVok0M5HQbIKarkEhgE7LmgNglqgTIIXVy9Ks2MhEdh6LM7inFicbunF103d+JeSdL6LMyXC/IuHMW70Z1F2rODWY3EWZbsawQtaA+XLIj7RY7airs0EAFgogGzWoxGLGCx01w3qgBBf4T5LQp35AAbbDCHOflCQJTBC760DQLJGjqw4BVgWdI4h8QluGiEvUYk4pXDyY11rYQ4FWcR3WJb11A0htxkLs2PBMEBjhxmdAtswRUGWgDicLE5ecgUlQq4wwGDPhBoT4guh0PkABsv/zaVuOseQTFtjpxmdJiukEhHmpgvj+LXRaBQRKEhSAQC+EVibQUGWgFRrDTBa7FDJJCgS4ALGoRZRj5340Nch0FsHgNmpGkRGuM4xbOgw8V0cInDc92tJRjRkEmGcVziWxQLdMEVBloBwFaYsO0Yw5xWOZbF7J9WZK73otzp4Lg0RMpPFjnPuBJ5CD7KkEhEWZEUDAI43CjMvEAkeobAei8PtvqUgi/gNt36pLFv4FSYjNhKJKhlsDhZnrvTyXRwiYFXNvXCyQHpMJFI0kXwXZ9rKslz1m9Yrkuk6cZnrmAu/zeA2tNTqDDBZ7DyXZvIoyBKQU82uL90FmcLcPTUUwzCe13HKnfeLEG+EUr0AgAVZVC/I9HUYLWjp7gfDAPMzo/kuzrQlquVIi46EkwVOt/TyXZxJoyBLILT6fmj1AxCLGMzLEO4CxqG4aZHKZuqxE+8NBlnR/BbER+ZnRAMAmrv7BLeTigQPrl7kJSqhlgvvBITReDogAhrlpSBLILgs74XJKiikgs0hO8zQkazxEssSMhaWZT11g/sCFjpNZATyEl2JhitpNIt4yVMvQmSEFxjsSFXSSBbxNS5yD6UKMztNgwgxg06TBVd6+vkuDhGgxk4z9P02yCQiFCYLe8ftUIMdEOH02ElwCbVpdGDwtVQ29wimY05BlkBwFaYkRKZEAEAeMXiWFjUmxBtc52NuugZSSeh8nXH1XEjTIiR42BxOz4aiUGozilLUkElE6OmzoanTzHdxJiV0vpVCmMXuwLlWA4DQ6pUAQImnZ9LLb0GIIJ0KwSkRYHDq88wVPR0WTaasRmvEgM0JtVwi2DNuRyOViDDHfVi0UDaGUJAlAOevGmB1uA6FzopT8F0cnxrcSUU9djJ1lZ4R3tAKsmYmKKGSS9Bvc6BGZ+S7OERguO/T+ZkxEAk8p+K1hNZmUJAlAIMLGKMFeyj0WLiFjBeuGjBgo6SkZPJMFjtq21wBSKjsLOSIRIxnlyHtviVTVRliO26H8ix+p5Es4iunQrS3DgBp0a6kpHYnizNX9HwXhwjI6ZZesKz7M6SW810cn6M8csRboTqNDgy+JqEkJaUgSwAqQ3BnIWdoUlLqsZOp8Oy4DZHUDdcS2rQICQ6dJguau/tCJgnptYYmJT0jgFQOFGQFOZ1+AFf1AxAxEPQp6uPx7KSixoRMQaglIb3W/PRoAMDlLkpKSiaP63zMTAidJKTXElKbQUFWkOM+RIXJakTJQiMJ6bWGHiMilNwnhF8sy3oSEobiNDoAaBQRmElJSckUhfJUIUdIU+kUZAU5zwJG9xE0oWhOmgYSEYMOIyUlJZPT1GlGb58rCSmXay0UDS7yDf4eOwkO4dBmcB1zISQlpSAryIVDr0QeIcasVFdDKaTjEgh/uHoxJy20kpBeizK/k6mwO5yeDUSh3GYUD0lKeqmrj+/ijCt0v51CgNXuxNnW0K8wwOCUD2W4JpPhWY8VooveOdzrO91CSUnJxGp0RvTbHFCFWBLSaw1LShrkbQYFWUHs/FU9rPbQTEJ6rRKaFiFTMHiWZzS/BfGzmQlKqGSUlJRMjicJaUZ0yCUhvZZQFr9TkBXEuMWuJRmhl4T0WtxI3XlKSkomYLLYUedOQhqqi945IhHj2YZPHRAykcowWF7CEcridwqyghh3wCeX+TmUpcdEIl7pSkparTXwXRwSxM636uFkgRSNHEkhmIT0WiXu+k/JeslETnNtRoiP8AKDHay6NmNQd8wpyApiZ9zrseaGQZDFMIwnDxi3Do2Q0XCfj1DNG3etOe58WVQvyHiMAzY0dpgBAHPTQr9uJKllSFDJ4HCyuBDEHXMKsoLU0AozJwwqDDD4OqnHTsbDfT7muoOPUMcFk3VtRvRbg7fHTvh1rtUVaKRFRyJOKeO5NP7HMIwnmDwbxG0GBVlBamiFiY2S8lyawJgjgApD+MeN6MwOk85HklqOBJUMTha4oKW6QUZ3trUXQPh0yoHB74Bg7phTkBWkuAoTLlMiADDH/Vrr243oswb/wZ8k8PT9NjR1htcILzA4/RPMjQnhF/fZmBNGbcbgEpNefgsyDgqyglQ4VpgktRxJaneP/WrwzrET/px3j2Klx4TPCC8w+D1Ao7xkLOG2VhEY7Gg1tJtgtgRnx5yCrCDlqTBp0fwWJMDmuF8v9djJaM6EYUMCDL7eM7T4nYxC32fDZXfm83Aa4U1Uy5Gslrun0oOzY05BVhAK1woDgHYYknFxIzlzwqzzwa09udhhgilIe+yEP+euuupFZqwC0YrwGeEFBkd5g7VjTkFWEOIqTFacAhpFBM+lCaw5FGSRcYTjlAgAJKrkSNHIwdJUOhlFOC4v4XDrFc8FaZtBQVYQ4ipMuOyeGmoO9djJGHr7rGjudo3wzk4Nv7oxuJOql9+CkKATjjsLObPTg7teUJAVhDw7C8OwwsQrZUh199jPB2nPhPCDG8UKxxFeYPD7gEZ5ybU8uePCsM3gAsvGTjOMAzaeSzMSBVlBKJyHfgGaMiSj89SLMGxIANphSEbXY7biSk8/AGBWGNaNeKUMadGRro55EE6lCzbIqqiowO23347U1FQwDIMPPvhg3OsPHDgAhmFG/NTU1Ay7bseOHSguLoZMJkNxcTHef/99P76KkbqHVJhwnC4EBjN5B+tCRsKPs1fCcz0WZ2iP3RCEPXbCD64zmhMfBU1k+I3wAsGdyFqwQZbZbMa8efPw0ksvTel+tbW10Gq1np+8vDzPvx09ehT3338/1q9fj9OnT2P9+vW47777cPz4cV8Xf0xchZkRHwW1PMwrDI1kkSG4z0O47SzkxLl77EDwLvIlgTdYL8Kz8wEM2WEYhPVCwncBvLVu3TqsW7duyvdLTExEdHT0qP+2ZcsWrFmzBps3bwYAbN68GQcPHsSWLVuwbdu26RR30s66F++F61QhMPhl0eTusYdrsEkGdZksaO3lRnjVPJeGP3PTNWjt7cfZK3oszY3nuzgkCHALvsN1hBcYkvonCBe/C3Yky1slJSVISUnBqlWrsH///mH/dvToUaxdu3bYbTfddBOOHDky5uNZLBYYDIZhP9NBvRIgJkqK9BjqsZNBQ0d4VWEcdM+mUV5yjbNhvBudw+02vtTVB31/cE2lh02QlZKSgtdeew07duzAzp07UVBQgFWrVqGiosJzjU6nQ1JS0rD7JSUlQafTjfm4zz77LDQajecnIyNjWuU8G+aLezlzaZEvGeJsmG8G4VCyXjJUp8mCq/oBMAwwKzV8R3hjoqTIiHV1zINtV7pgpwunqqCgAAUFBZ7fy8vL0dLSgt/97ndYsWKF53aGYYbdj2XZEbcNtXnzZmzatMnzu8Fg8DrQ6jAOqTBhHmTNSYvGrrO6oJxjJ4F3hkZ4AQy+/stdfdD32cIylQUZRCO8g+amRaOlux9nWvVYOjN4ptLDZiRrNEuWLEF9fb3n9+Tk5BGjVu3t7SNGt4aSyWRQq9XDfrzFTY3lJiihlIVN/DsqGskiQw3uLIzmtyA8i1ZIkRmrAECjWYTqxVDBmuIkrIOsyspKpKSkeH4vLy/H3r17h12zZ88eLF26NCDlofVYg7g59uZuV4+dhK8OowU6A02JcAZ3UvXyWxDCu3A+HeRaXCLWYKsXgh0uMZlMaGho8Pze1NSEqqoqxMbGIjMzE5s3b0Zrayv+/ve/A3DtHMzOzsasWbNgtVrx5ptvYseOHdixY4fnMZ588kmsWLECzz33HO644w58+OGH2LdvHw4fPhyQ13TefWYhNSSARhGBjNhItHT347yWdlKFM65e5MRHISrMR3gB1/fDp2e0dIYhQbXW9RmYTW0Git1/g5bu/qDalS7YkawTJ06gpKQEJSUlAIBNmzahpKQEv/rVrwAAWq0Wzc3NnuutVit+8pOfYO7cuVi+fDkOHz6MTz/9FHfddZfnmqVLl+Ltt9/GX//6V8ydOxdbt27F9u3bsXjx4oC8pgvuClNMFQYAUJzi+jtQYxLePPUiheoFMKReaKlehLPePqsnrUkRtRmIVkg9eeSqg6jNEGy3cOXKlWBZdsx/37p167Dfn3nmGTzzzDMTPu4999yDe+65Z7rFmzJ9vw0t3e6jEVJo6BcAZqVqsPt8GwVZYY47KmNWGB4KPRru79DUaYbZYqfRvTDFfS9mxiqCZtSGb8WparT29uP8VQMWz4jjuzgABDySFWq4Yd+06EjaMeRGPXYCDPZKaYTXJUElQ4JKBpYFanRGvotDeEIjvCMFY5tBQVaQuEANyQjc36Kh3YQBm4Pn0hA+mC12NHWZAVBjMlQwNiYksM5TmzEC97cIptkPCrKCxOCUCFUYTopGjhhFBOxOFvVtJr6LQ3hQozOAZYFE9+gNcZnlaUyCa7s6CZwL1GaMwP0t6tuNsNqdPJfGhYKsIEFDvyMxDDPYM9FSYxKOaIR3dMHYYyeBM2BzoKHD1fGkujEoLToSmsgI2Bws6tuDYyqdgqwgYLU70eD+QIR7pvdrcYt8qTEJT1zng3rrw3H1okZnhN0RHD12Ejh1bUY4nCxio6RIVsv5Lk7QYBgm6HalU5AVBOrajLA5WGgiI5CqoQozFFdhzgdJhSGB5Vl3Qjtuh8mKVUAhFcNid6Kx08x3cUiAeUZ4U9TjHvsWjriRvWBpMyjICgJDpwqpwgzHVZhqrQFO59gpO0josTucnt1zNCUynEjEoCjIeuwkcGjR+9iCbVMIBVlBgBYwjm1GfBRkEhHMVgeau/v4Lg4JoMZOM6x2J6KkYmS5z+sjgzyL34OkMSGBQ9PoY5uV5u6YXzWMm0szUCjICgK0uHdsErEIhckqAMEz/EsCgztOpyhFDZGIRnivNTiVTptCwonTyXryKtJGqZFyE5SQikUwWuyeBN98oiCLZ04nS8fpTIB2GIYn6nyMb+gOw2DosZPAuNRlRp/VAZlEhJz4KL6LE3QixCLkJysBBEebQUEWz6709MNksUMqESE3Qcl3cYJSMe0wDEs0JTK+/CQVxCIGPX026AwDfBeHBAhXLwpT1JCIqQkfDXc0XTC0GfQO8Ywb6i9IUiGCKsyoaIdh+GFZlnYWTkAeIcZMd8fsfCvVjXBx/ipNFU4kmHYYUqvOM0pCOrHCZBUYBmg3WtBhtPBdHBIAWv0AevtsEIsY5CXRCO9Yimnxe9ihafSJBVO9oCCLZ56dhWlUYcYSJZN41h5UB0GlIf7H1Yu8RCXkEWKeSxO8ZlHm97BD0+gT49KbaPUD6DZbeS0LBVk8o6HfyaEpw/BC9WJyPPUiCBb4Ev9rNw6gw2gBw8Cz65qMpJRJkB3nSvvCdweEgiwedZks0BkGXBWGGpNxeY7XoZGssMDtCqIpkfFxf5+W7n7o+208l4b4GxcwzIiPgkIq4bk0wW2wzeC3A0JBFo+4gCE7LgpKGVWY8QwuZKQeezigjNaTE62QIi06EgBNpYeDwXpBm0EmEiyL3ynI4hEllJs87m/U1GlGn9XOc2mIPxkGbLjS40oiSHVjYnS8TvigNmPyguWgaAqyeFStdZ3LVpRCc+sTSVDJEK+UgWWBujYT38UhflTrPq8wVSNHtELKc2mCX7H7+4P7u5HQxZ3lSW3GxLjOR2OnGRa7g7dyUJDFI65XUphMvZLJ4L5YamhaJKTVDEm2SCbG/Z1qdFQvQtmAzYHGDlcHs4jqxoSS1DJEKyLgcLJoaOevY05BFk+sdicuuitMIfVKJoXbTVNDPfaQVu1+f2n31ORwf6faNiMcTjpeJ1Q1tJvgZIEYRQQSVTK+ixP0GIYZbDO0/LUZFGTxpLHTBJuDhUom8SxcJePjRvxogW9oq6aRrCnJiouCPEKEAZsTl7rMfBeH+MmFITMfDEMHpk9GMLQZFGTxhIusC1NUVGEmiRvxq9EZ6UDcEOV0sp61RUU0kjUpYhGDgiT+e+zEv4a2GWRyilL4n/2gIIsn1TpajzVVMxOVEIsY6PvpQNxQ1dLThz6rA1KxyJPln0yM+x6hdVmhi3tvi6jNmLRgqBcUZPGEeiVTJ5OIkZvganipxx6auB23eUlKSOjA9EnjvkeqqV6EJJZlh0yjU5sxWflJrnNvO01W3s69pW8xntTQSJZXPHPs1GMPSVQvvBMMPXbiPx1GC3r6bBAxQF4iBVmTFSkVIyfO3THnqW6MSDOu1+vR19fHR1kAAAqFAhpNaGez7TZb0WZwRdUFtO5kSgpTVPjoNI1khaoayh3nFW4X1ZWefhgGbFDLI3guEfElbsdtdnwUIqV0YPpUFKao0NhpRo3WiOV5CQF//mFBll6vx0svvQS7nb+M2hKJBE888URIB1pcRJ0Zq6DjdKaoiHrsIY1GsrwTEyVFsloOnWEAdTojyrJj+S4S8SEudxytx5q6wmQ1dp3V8Tb7MWy6sK+vj9cACwDsdjuvI2mB4FmPRaNYU8atR7jYwW8WX+J7Zosdl7tddZ9GsqaO+5tVUx65kEOZ3r3Hd64sWpPFA09vnfIATVmyWg5NJP9ZfInv1bUZwbKuI5TilJRscao8md8pj1zIodNBvMdlx29oN8HmcAb8+SnI4kEN5QHyWrBk8SW+V0OZ3qeFTkQITXQ6yPSkRUdCKZPA6nCiqTPwyXopyAowx5BkizSS5Z0iOqstJHnWnVC98Ar3d6vVGeGk43VCBp0OMj0iEePZYMZH5ncKsgLsUpcZFrsTkRFiZMYq+C6OIFGPPTTRmYXTkxMfBalYBJPFjtbefr6LQ3yETgeZPj7bDAqyAoyrMPnJKohFVGG8wY0AUuLF0MGyrGcki9adeCdCLMLMRCUAOt8zlNDpINPH53pFCrICrNqzFZd6697KT1K6s/haeMviS3xLqx+AYcAOiYhBbiIdp+OtwiA4q434Fp0OMn1FQh7Jskok6IqJQXN6Oq6kpqInQPmtKioqcPvttyM1NRUMw+CDDz4Y9/qdO3dizZo1SEhIgFqtRnl5OXbv3j3smq1bt4JhmBE/AwO+OydvMA8QVRhvKaQSZPOcxZf4Fvc+5iYoIZNQskVvUR650EO546Yv393eavUD6O2zBvS5vcqE2S+X40RpKery89Galgb2mnliqdWKnKYmzD1zBkU1NfDHpJjZbMa8efPw8MMP4+67757w+oqKCqxZswa//e1vER0djb/+9a+4/fbbcfz4cZSUlHiuU6vVqK2tHXZfuVzus3JXa2nRuy8UJqvQxGMWX+Jb1dRb9wnPSBZNpYcEOh3EN9TyCKTHROJKTz9qdEYsmREXsOeeUpDlZBgcWLkSxxYvhi0iAiqjERktLYjs70eEzQYAsEqlMEdF4XJWFmoKCxHX1YXbPvkEOZcv+7Tg69atw7p16yZ9/ZYtW4b9/tvf/hYffvghPv7442FBFsMwSE5O9lUxhzEM2DwLUmkka3oKk9X47Bx/WXyJbw2mb6DOx3Rwf7+mLjP6rQ46gkXg6HQQ3ylMVruCLK0hOIMsU1QU3rn3XihNJty9cyeyLl+G3DL+ephejQb1eXn4/OabUXzhAq4/dGjaBfYVp9MJo9GI2Njhx0+YTCZkZWXB4XBg/vz5+O///u9hQdi1LBYLLEP+DgbD2I0+l7ohRSNHtEI6zVcQ3qjHHlo8i95pJGtaElQyxCul6DRZUddmxLyMaL6LRKaBTgfxnaIUFfZVtwV8Xdak1mRZpFJ8+K1vYfW+fbjvvfdQUFc3YYAFANF6PRaeOIEf/vnPUPT340h5+bQL7Cu///3vYTabcd9993luKywsxNatW/HRRx9h27ZtkMvlWLZsGerr68d8nGeffRYajcbzk5GRMea1XENCw77Tx6094SuLL/Edi92BRneSQGpMpq+Q1mWFDFrD6ztcvQj0sVOTCrKOLVmC2z79FJlXrnj9RAtPnIBGr4fWT1NxU7Ft2zb813/9F7Zv347ExETP7UuWLMEDDzyAefPmYfny5XjnnXeQn5+PF198cczH2rx5M/R6veenpaVlzGtr22hKxFfSYyKhkIphdThxuSvwWXyJ71xsN8PhZKGJjECy2nfrH8MV14mr1dGxU0JX28Zleqc2Y7q4elHfFthkvZMKsuaePg3NONNgkzXrwgUozPw2iNu3b8eGDRvwzjvvYPXq1eNeKxKJsHDhwnFHsmQyGdRq9bCfsdS5v/QKkpXeFZ54iEQM8pKoMQkFde7OR0ESJVv0hQJ3veD+rkSYnE4W9e73MD+JRrKmKztOAalEhD6rA1d6Apesd1JBVoxejy9vuMEnT6gx8lfxt23bhoceeghvvfUWbr311gmvZ1kWVVVVSElJmfZzsyzrGcmiCuMbBUmuYLWWGhNB89QL6nz4BLddneqFsLX29qPP6oBULEJ2HJ0OMl0SsQgzEwLfZkw6T9aR8nJUzZvnz7JMiclkQlVVFaqqqgAATU1NqKqqQnNzMwDXNN6DDz7ouX7btm148MEH8fvf/x5LliyBTqeDTqeDXq/3XPPrX/8au3fvRmNjI6qqqrBhwwZUVVVh48aN0y5vm8ECfb8NYhGD3ARqTHwh3zOSRWtPhIzbEFJAnQ+fyHNnfe8wWtBtDmxOIOI73ALt3EQlJGLKG+4L3JRhIEd5J/3O2SUSHFyxAi8+/jiOLlmCfpnMn+Wa0IkTJ1BSUuLZ+bdp0yaUlJTgV7/6FQBAq9V6Ai4A+POf/wy73Y7HH38cKSkpnp8nn3zSc01vby8effRRFBUVYe3atWhtbUVFRQUWLVo07fJykXN2nALyCNpW7Qvc2ra6NpouFDJPkEVrFX0iSibxnItaS5nfBauujXYW+hrXMQ/kDsNJp3BYUFmJb338MfRqNarmz8dfHnkEmS0tWPjNN0jVav1ZxlGtXLkSLDv24rWtW7cO+/3AgQMTPuYLL7yAF154YZolG12dpyGhCuMr3PTSpS4zBmwOCl4FyDgkd1x+Eo3w+kp+kgrN3X2oazOiPDdwOYGI73ABMi0v8R0uYK0LxiBr5f79AACNwYDrKyqwvKICtQUF+OLGGzEgl6PsxAnMOXcOEofDb4UVMlqP5XsJShliFBHo6bOhod2E2WmBOdKJ+E59u2sUMkkto9xxPlSQrMS+6jZalyVgng0htFbRZ7j1ihc7TLDanZBK/D8NO+lnUJuGT8mIABTV1mL9P/+Ju3fuRHtiIl7+4Q+xe80adMfE+Lqcgjd0BxXxDYZhhqzLosZEiKi37h9UL4TN5nDiYoerzaW64TupGjlUMgnsThZNnYHJdOCTMC62pwc37d2LH776KgxqNV584gm8+d3voiY/3xcPL3gOJ+sJsvJputCnCmknlaDRonf/KBgyLTLesgoSnJo6zbA5WChlEqRFR/JdnJDBMEzAd9/6JMiySiT4uqwMr/7bv+FCcTFYhkFbUhLahyT6DGct3X0YsLmGJrPjovguTkjxVBjqsQvS4JQIBVm+NCNeCYmIgdFih1Y/wHdxyBQNjvAqKXecjwV6V/q0TpzsVavx9eLFOFVSAotMBpZhkHr1KpYcP45Z585BTD0oAIMRc16iEmIRVRhfosSLwkZBln9IJSLMSIhCXZsJtW1GpNJoiKBQvfAfT37FACWxnnSQ9dXSpVh25AgAoDkjA8cWL0ZNYSGcIhFETieKqqux5PhxZI5zrEy4qqMpEb/hsr5r9QPQ99ugiYzguURksjpNFnSarGAYYGYiLe71tfwkFeraTKjTGXFDAc0qCAmtVfSfAk/qn8B0zCcdZB1ftAjmqChcnDED7YmJYBkG8oEBLKisxKLjxxHtg2N3QlUtrcfyG01kBFI0cmj1A6hvM6IsO5bvIpFJ4jofmbEKKKTTGlQnoyhIUuETaGkqXYBqaaOU33CpYpq7+2C22BEl8+93z6Qf3aBW4+iSJWAZBnFdXVh8/DjmV1VBarf7s3whoZZyZPlVQbIKWv0AainIEhRKa+JfdLyOMPVZ7Wju7gNAHXN/iFPKEK+UodNkQX27CfMzov36fFMK4TJaWnDd4cPIb2jwV3lCjsXu8GwVpV6JfxQkqXCgtoN67AJDGa39i/u71reb4HCytB5UIBraTWBZIF4pRbyS35NVQlVhsgqHGyyo1Rn8HmRNenfhjMZG/GDrVgqwpqip0wy7k4VKJkGKRs53cUIS5QQSJlp34l8ZMQrII0Sw2p243BWYnEBk+qhe+N9gm+H/xe+TDrKWffXVlB9cr6IPiafCJKtoK66fDD30k3ICCQPLsp4zJ2ka3T9EosFkvbT7VjjqaBrd77gs+oGoF5MOsnKbmqb0wE4Af3/wwamWJ+RQhfG/mYlKiBigp8+GDpOF7+KQSWjt7YfJYkeEmKHccX7Ex4G4ZHpqaA2v33E7DANRL7xeVu9gGJxYuBCXsrIwIJeDvWaUxqBWo4eO1/GMZNG6E/+RR4iRHReFxk4z6nQmJKpoWjbYcZ2PGfHKgJwfFq4oj5zwUMfc//LcKWM6TRZ0mSyI8+PaN6+DrE9uuw2VJSXjXsPQ1A3toAqQ/CQVGjvNqNEZcF1ePN/FIRPg1kJQb92/CuhEBEHp7bOizeAajedSDRDfi5JJkBmrQHN3H+raTCgPxiCruqgI9737LmbW14+axqEnOhr/+8gj0yqc0JktdrR09wOgCuNv+ckqfH5eRz12gaCM1oHB/X0vdfVhwOaAPELMc4nIeLh1imnRkVDJKbGyP+UnqdDc3YdanQHluXF+ex6vx+kzm5tRXF09Zp6smN5erP7iC68LFgrq210VJl4p8+twJBmcFqltC8xRCWR6amgHVUAkqmTQREbA4WRxsYPqRrDjztOjzof/cYvf/d1meB1kpV29CmvE+JG2QxzevSbPcTrJNIrlb9yXUn2bEU4nTVMHM7vDiYvuDgjljvMvhmFoXZaA0PKSwAnU8TpeB1lLjh3D0SVLxvz3XrUaB66/3tuHDwmDRyOoeS5J6MuOU0AqFqHP6kBrbz/fxSHjuNTVB6vDCYVUjPQYOrjY3/KTA3sgLvFenWetInXM/c3T+dD5N/WP12uytMnJOFFWhgMrV/qwOKGllkayAkYiFiE3UYlqrQE1OiMyYhV8F4mMges55iWpIKIs5H4X6ANxiXdYlqWOeQDlxEdBImJgtNhxVT+AtGj/dPi8DrJ23XILHGIxCmtqILOMzE3UExOD5szMaRVO6GjoN7AKklxBVl2bEWuKk/guDhmDp/NBm0ECooBORBCEdqMF+n4bxCIGMxIod5y/SSUi5CYoUdtmRK3OEHxB1oBcjsf/9CdE9Y89NfPyxo3ePrzg9Zit6DC6gs88CrICIp+2qwsCHRsSWNzO5tbefhgHbJCH91LZoMVtBsmOU9Au0ADJT1a5gywTbiz0T8fc6zVZhTU14wZYAPDAm296+/CCd9F9KHR6TCSUMq9jWTIFhcm0wFcIKH1DYEUrpEhSu3Y319Hu26BVR5neA44bTfdnm+F1kFVQVwddYuK413xy223ePrzgcdulKdN74HAjIxc7TLA5nDyXhoxmwObAJfdhxbSzMHDoDMPgR8tLAi8Qx+t4PcRiVKlwqqQEeQ0NwLUr8xkGvRoNLubmTrd8glXf7mpIqMIETlp0JKKkYpitDjR1mpETS8frBJuLHWY4WSBGEYEEFeWOC5TCZBUO1Xe6p2pT+C4OGQUXAFPHPHC4jt7FdhPsfuqYex1k7V+5EnqNBudnzRrzmnA+VueiO8iiod/AYRgG+ckqVDb3olZnpCArCHEJevOTVGAY2lkYKDSSFdycTpbOLORBekwkFFIx+qwOXOrqQ4wflsJ5HWTNvHgRaVeuIFqvh8g5PAJkGQZdsbHYfdNN0y6gUDV0mgDIqMIEWKE7yKprM+Lm4gS+i0OuwWVXps5HYNEZhsGtpacfAzYnpBIRsuJoZ2GgiEQM8pJUON3i6pgvSZP6/Dm8DrKKz59HblPTmP+ec+kSjKrw/SI1DTggjWSQm0Db1AMpn7arB7X6tsGRLBI4MxOVYBigy2xFl2lkyh3CL25DQl6iEmLKHRdQBUlKV5DVZsSSNN+fYTiphe+N2dkjbhsvwOLccPDgsN+dDIPW1NTJlSwE5MRHQSrxem8B8QIdIRLc6tppJIsPCqkEme4Evdx7QIJHHR0zxZvBjrnBL48/qQigMyEBLWlp03oiFsAXq1YhtqtrWo8jJPnUkAQc9ze/3N2HfquD59KQofrtgFY/AADIT6S6EWiD67IoyAo2nhFeajMCrtC9w7DTZPXL408qyFr0zTc4WVqKrxcuhMOLxaptCQn453e/i6LqakSOkh0+VFGvJPDilTLERUnBskBDBzUmwUTnTquXopFDoxj/cHnie9yutXoayQo6de2UI4svZdkxOPXLNdjxw6V+efxJr8n61kcfYffNN+MPTz6Joupq5F68iISODsTo9SOu7YuMRHdMDK6mpqJh5kx0xsfjnh07kKrV+rTwwY7WnfCjIFmFIxe7UNdmAh0/HDyu9rk6aFQv+OGZFmkzYWk6z4UhHnYn0NTZB4A65nyQR4j9mmF/0kGWCMC6zz9HQW0t9q1aheOLF4NhWTAsC6nVigibDQ6xGFapFA6xq8ASux1lJ0/iXz74AJEDA/56DUGL8p3wIz/JFWTVt5swl+/CEA+tO8ii3jo/uL97fZsJ7PRWfxAfau8H7E4WKpkEKRpKOxNqpry7cEZTEx79y19wOSMD1UVFuJKeju7YWJijoiC1WqHR65HU1obcixcndfROqJJFiJDhXmhKAqsgeXDtyVzK4hA0tK7OOo1k8SQ7LgoRYgZmqwM9/ll+Qryg7XeP8CZT7rhQ5HUKh6yWFmS1tPiyLCFlRnwUbcXliWeBb7sJoCArKLAsOziSRUEWL6QSEWbEK1HbZvS8F4R/WppGD2nTyi/AAqjPzcWJBQs8t10oKoIpipKp5SbQ34Av+e5DP9sMFvTZeS4MAeDauWO2M2AYIC+JcsfxhRvlvdrHc0GIBzfCS8tLQpPXI1l9cjnefOABaFNSoNHrUXbqFAAgo7kZH9xxB2Y0NmLpsWM+K6jQzKQkpLxRySOQFh2J1t5+zxcY4ReXBygrVuHXRaZkfAXJKuA0aCQriNBIVmjzeiTr85tvRmd8PApraiC1Dk7wq8xm3PHhh9i3ejWOLl7sk0KOpqKiArfffjtSU1PBMAw++OCDCe9z8OBBlJaWQi6XY8aMGXj11VdHXLNjxw4UFxdDJpOhuLgY77//vlfly0ukkSw+cT12akyCw9CM1oQ/XEOuo3oRFMwWO7osXJBFdSMUeR1kNcyciUf+8hfc/+67UPQNHy5Qmc1QGww4tmTJtAs4FrPZjHnz5uGll16a1PVNTU245ZZbsHz5clRWVuJnP/sZfvzjH2PHjh2ea44ePYr7778f69evx+nTp7F+/Xrcd999OH78+JTLl0tBFq+4xoSCrOAweDA0NSR84tbD6foBu8M5wdXE3xo6zACAeKUUcUoZz6Uh/uD1dGFiezsSOztH/TerRAKT0r9fpuvWrcO6desmff2rr76KzMxMbNmyBQBQVFSEEydO4He/+x3uvvtuAMCWLVuwZs0abN68GQCwefNmHDx4EFu2bMG2bdumVL5EqjC8Kkh2ff4oyAoO3EhWPo1k8So9JhIKqRh9Vgcud/ejMJW+p/hE9SL0eT2SFWU2wyYZPUb7ctUq2CUSJLW1eV0wXzt69CjWrl077LabbroJJ06cgM1mG/eaI0eOjPm4FosFBoNh2A8A2orLs4Ik11EJ2j7XzjbCH6eTRYN7JIsWvfNLJGIw0z3KTud78o97D6hehC6vg6zyY8ew46670B4fDwCwicVoSUvDu3ffjWOLF0PkdOLGL7/0WUGnS6fTISkpadhtSUlJsNvt6HSPyI11jU6nG/Nxn332WWg0Gs9PRkaG7wtPpmxGgiuFRp+DQbsxfI5yCkatvf0wWx0QMyyy4yh3HN+4cyPpDEP+DR4MTUFWqPJ6ujC9tRWLvv4ab3/72+iOjcVvf/YzAADLMFAbDFj32WfIbWryWUF94drRJW6EY+jto10z3qjU5s2bsWnTJs/vBoOBAq0gII8QIytWgcZOM+raTUiPo507fKnVuXrrSZFAhHhaWWOID3Dr4uroDEPe1dOGkJDndZAFADMuXcKPXnoJuqQkdMfFwckwiO7tRdrVqxAF2RRNcnLyiBGp9vZ2SCQSxMXFjXvNtaNbQ8lkMshktK4hGOUnKdHYaUZ9mwk3FvFdmvBV654SSVEE13dCuOIa9HoayeJVt9mKDpNrZ/5MCrJCltfdygtFrlaLAZDS1oZZFy5gzvnzyGht9QRY5shIVBcW4lJWFvj+ei0vL8fevXuH3bZnzx6UlZUhIiJi3GuWLvXP6dzEv7jFpNRj51cdBVlBhRvJutzdhwGbg+fShC+uXsTKWChl0xrvIEHM6yDrm7Iy2MRi6BIT0REfD+c1U2rapCT88cc/xonSUrQlJeGLG29Ed0zMtAvMMZlMqKqqQlVVFQBXioaqqio0NzcDcE3jPfjgg57rN27ciMuXL2PTpk2orq7GG2+8gddffx0/+clPPNc8+eST2LNnD5577jnU1NTgueeew759+/DUU0/5rNwkcDzTItRj5xU3XZhCy7GCQoJSiigJCycLz4YEEnhcvUilzkdI8zp81qak4Hc/+QmsUikAILK/H2v37sX806cBAEeWLoVVKsXtH3+MaPeOuxMLFkDR1we5ZfoLkU+cOIEbbrjB8zu3Lur73/8+tm7dCq1W6wm4ACAnJwe7du3C008/jT/96U9ITU3FH//4R0/6BgBYunQp3n77bfziF7/AL3/5S+Tm5mL79u1Y7MekqsR/uCCrvt0Ep5OFiM6SDDibw4mLHa6GPCWSGpNgwDAMUhRAg8HV0M9O0/BdpLDETaMnU+cjpHkdZA3I5WBYFjMbGpDQ2QmrVIo9a9YgwmrFrOpqdLnXOandARYAzK+qwtHyciz/6qtpF3zlypXjbs3funXriNuuv/56nHIf/zOWe+65B/fcc890i0eCQGasAhKGxYDNiZaePmTFUYLYQLvUaYbNwSJKKkaMjA6SDBYpkSwaDAylceBRHTfCS52PkOZ1kCV2OPDQ1q3IaG313Lb0yBF8cuutmFVdDZt7ndPQ+UiJ04m2cRaRE+JLYhGDZAVwxezqsVOQFXhcb31mohIihlJpBItk9xRVLQVZvGBZljaEhAmv12Ql63TDAiwAiO3p8UwfsgwDsWPkosoeH67LImQi3BcYt/6BBBbXW6c8QMGFWwdUR/WCFzrDAIwDdkhEDJIi+S4N8SevgyyWYdCjGT6Xf2zRIihNrvUXDrEYsmvWXjlEIhjUam+fkpAp44biqcfOjxodZbQORtw6oKv6Aej7bfwWJgxx9SI7TgEJpY4LaV5PFy44dQqv/PCHyGlqgtjhQFtSEnpiYjDn7Fkcuu466DUaRPb3oys2FnHd3QBcOxLjurp8VnhCJsLtaKO1J/zg/u75iUr09vBcGOKhkADJahl0Bgvq24woy47lu0hhhRtBdG3O0fNbGOJXXgdZZadOoT8yEoeWL4dVKoXSZMJd77+PWefPY++aNZ7dhntXr4ZdIoF8YAAXiotx986dviw/IePipgsbO8yw2p2QUrcxYPqtDlzu7gPgaky+ruW5QGSY/CQldAYLainICjhuZD0vUQn081wY4lfTyoC2/KuvsPToUfRHRiLKbAa3QX7t3r1Y607qOe/MGXxTVoaTCxZg+eHDmHXhwnTLTMikRUsBlVwC44AdTZ1mFCTT8TqB0tBuAssCsVFSxEVJ+S4OuUZeohIV9V20LosHnhHeJCXsl/gtC/GvaXfrxU4nlEMCLE7DjBme/1944gQ2vvYabjhwYLpPR8iUMMxg5vcanWGCq4kvcb31giTVuOd/En4UJLk6HLReMbAcTtZzpBH3HpDQ5de5ky+HJAslhC95nszv1JgEEvf3ptHD4MQl663VGcfNOUh8q7m7Dxa7E/IIEdJjaGthqPN6utAUFYXda9dCl5wMu0QC9pqeqjkqCiKnEzfu3z/tQhIyHdxIVq2OjhAJpBrP4l4KsoJRbkIUGAbo6bOhw2RBokrOd5HCQq17RD0vUQUxnUIR8rweyfrs5ptxftYsiJxOSOx2SK1WRPf2Irq3Fxq9HjKLBUuPHvVlWQnxSj6NZPHCkyMrmdI3BCN5hBjZ7gS9ddQBCRius0edj/Dg9UjWlfR0PPbKK4jv6oJRqcSR8nLc5F7sDgCf3Hor5pw965NCEjIdee6RrObuPvRZ7VBI6cR7f9P32aAzDAAA8qgxCVr5SUo0dZpR22bEdXnxfBcnLAxOo1PnIxx4PZIV09ODeHfOK5XJhD6FAgMymeff55w5gz1r1ky/hIRMU2yUFAkq12ezro167IFQ1+5qSNKiI6GWR/BcGjKWgmRXcmjaYRg4ng0hyZSYOxx4HWQ5xGI05ObCHOlauLfg1Cl8fNtt4JZPXk1Lw6XsbB8UkZDp43bxUGMSGLXDki2SYEU7DAPLYnegqdMMgHYWhguv503Kjx3DP7/7XQDArbt2oezkSRxbsgRbnnwSkf39aEtKQkJHh88KSsh05CepcLihkxqTAPEEWbSzMKhxU1Z1bUY4nSxEtBDbry62m+FwslDLJUhSy2C32/kuEvEzr0eyiqur8b233sKS48eRfekSAOCODz9EilaLzvh4JLa3446PPvJVOQmZlqGNCfG/oTmySPDKiouCVCxCn9WB1l5KPe5vQ9OaUO648OD1SJZdLMbMixcx8+JFz21yqxXffucdAIAxKgoqs3n6JSTEB7j1DzU0Xeh3LMtSjiyBiBCLkJuoRLXWgFqdERmxCr6LFNJqqV6EHa9Hst783vfG/XeTUonTc+d6+/CE+BS3w7DDaEG32cpzaUJbh9GC3j4bRAyQm0BrsoJdAZeUlEZ5/c6T1oRGeMOG3zK+x3d24kRpqb8enpApiZJJkBHr2qRBU4b+xTXW2fFRkEeIeS4NmQi3bo7qhf/VtlGC3nAzpenCL1euxPlZs+AQi2FSKrHlxz8e81pzVBSUJtouT4JHQZIKLd39qGszYsmMOL6LE7JqqbcuKJ4dhjSV7lcmix1Xelzr3ijICh9TCrJuPHAARdXVePvb34bEbkd0b++o1zEsi8zmZqyoqPBFGQnxifwkFfZVt1Nj4me1dJyOoHDv08UOE2wOJyLEfj3SNmxxI4WJKhlioqQ8l4YEypQXvqe0teHhv/4Vu2+6Cfe/+64/ykSIX3CLTSnI8i+uMSmkxb2CkB4TiSipGGarA5c6zZSh308Gj5miv2848arLEm0w4NZPP53wOl1iojcPT4hfeIKsNiNYlp3gauINp5P1ZNWnHFnCwDCM572ixe/+Q2lNwpPX48LKvr5x/90J4N177/X24QnxuRnxSkhEDIwDds+5esS3rvT0o9/mgFQiQhalAxAMOhHB/7gRXup8hJdJTRf+43vfg0M8tV1CBrUaPTExXhWKEH+QSkTIiY9CfbsJtTojUjSRfBcp5NToDACAmQlKSGhtj2Bw67Ioj5z/0IaQ8DSpIEtqtaK6qGjKD87QlAwJMvnJKtS3m1DXZsTKAprO9jVKQipMBZTGwa86TRZ0mqxgGCCPzvMMK5MKsspOnEB8Zyeur6iAxOGY1AN3R0fjrw8/PK3CEeJrhUkqfAot9dj9pNa9HouCLGHh3q/L3X3otzoQKaX8Zr7EBa+ZsQoopF4ftEIEaFLj+blNTSiqqZl0gAUAsb29dHYhCTqUeNG/KKO1MMUrZYiLkoJlgYZ2ym/oa3WU1iRsTXrRRKpWO+6/mxQK2CTDI/Sh5xoSEgy4xr++zQSHk6azfclqd+JiB+0sFCouAKAdhr7nGeGlICvsTGvc0hIRgQM33ICqefMwIJcDABLb21F28iTKTpwAnTFOgk1GrALyCBEGbE40d/chJz6K7yKFjKZOM+xOFkqZBKkaOd/FIVNUkKzC0cYu1Lo3LxDf4f6m1PkIP15v/+mXyfDGD36Ao0uWwCKTIba7G2mtrQCAPWvW4O/r18Mhot1FJLiIRQzyErmkpNSY+NLguWxKMAx1sYRmcCSLpgt9iWUHc8fRSFb48Xoka/8NN8CoUuG2Tz7B3LNnIbXZPP9mE4txYOVKHL7uOlxPR+uQIFOQrMLZVj1qdSbcPJvv0oSOwYzWap5LQrzh2WFIm0J86qp+ACaLHRFihkbOw5DXQ021BQV48O9/R9mpU8MCLACIcDiw5osv0JyRMe0CEuJrnsSLtPbEpwYzWtMWdSHKd79vOsMA9H22Ca4mk8UFrTPilZBKaHYn3Hj9jquMRiS3t497TZ+CMj6T4ENHiPgHZbQWNpU8AmnRrgS9de1UN3yllupFWPM6yJJarSN2Ew51qqQEVimdNE6CDzeS1dRphsU++bQkZGx9Vjuau11HbdG6E+HiRrPoEHXfGUxrQiO84cjrIGvu2bP4+/r1aMzOxoBMBptEgu6YGJybNQv/+N738PFtt2HBqVO+LCshPpGklkETGQGHk8XFdjPfxQkJ9W0msKw735JSxndxiJe49XQUZPlODa1VDGteB1nzT59GZnMz/rF+PZ575hn8dvNmvPjEE9hx1124mJuLuWfOYOnRo74s6wgvv/wycnJyIJfLUVpaikOHDo157UMPPQSGYUb8zJo1y3PN1q1bR71mYIAOEw4lDMPQuiwf86zHSqbeupBx7x9NpfuG3eFEQwftLAxnXu8uvJqcjDVffIGi6mqcKi2FNjkZtogIJHR0oKSyEvkNDb4s5wjbt2/HU089hZdffhnLli3Dn//8Z6xbtw4XLlxAZmbmiOv/8Ic/4H/+5388v9vtdsybNw/33nvvsOvUajVqa2uH3SaXU86fUJOfrMTXl7qpMfERymgdGvKHdD5YlqVUHNN0ubsPVrsTkRFipMfQgfThyOsg6x/r12PD668j/epVpF+96ssyTcrzzz+PDRs24JFHHgEAbNmyBbt378Yrr7yCZ599dsT1Go0GGo3G8/sHH3yAnp4ePHzN+YoMwyA5Odm/hSe884xk0bSITwzuLKQgS8hyE5QQMUBvnw0dRgsS1dTBnI7BzocSIhEFrOHI6+lCi0yGj2+/He/ddRcas7N9WKSJWa1WnDx5EmvXrh12+9q1a3HkyJFJPcbrr7+O1atXIysra9jtJpMJWVlZSE9Px2233YbKyspxH8discBgMAz7IcGP67HTQdG+wa3hoR1UwiaPECPbncupmurGtNXQCG/Y835NVlUVHv7b37B2zx40Z2Xhb+vX49jixRiQ+X/Ra2dnJxwOB5KSkobdnpSUBJ1ON+H9tVotPvvsM88oGKewsBBbt27FRx99hG3btkEul2PZsmWor68f87GeffZZzyiZRqNBBuUGE4RC9yLU1t5+GAYoJ9B0dJksaDdaANBIVigo8ix+pw7jdNW4/4aFKbToPVx5HWR965NPAABqkwkrDx7E+jffhEavx/t33omPbr8dVwMw5XbteoHJriHYunUroqOjceeddw67fcmSJXjggQcwb948LF++HO+88w7y8/Px4osvjvlYmzdvhl6v9/y0tLR49VpIYGkUEZ7z9Wgn1fRwf7+sOAWiZNM6DpUEgUL3aGSNlurFdHEjWUU0whu2fPaNKGJZZF2+jK64OBxdsgSV8+cjs7kZD//tb756Co/4+HiIxeIRo1bt7e0jRreuxbIs3njjDaxfvx7SCfJ4iUQiLFy4cNyRLJlMBlkARu+I7xWmqHFVP4AarQELs2P5Lo5gcdNKhdSQhARu1IWmC6fHbLHjcpc7dxzVjbDl9UjWkfJyz/9fSU3F+3fcgeeffhpf3HgjImw2rPriC9y/fbtPCnktqVSK0tJS7N27d9jte/fuxdKlS8e978GDB9HQ0IANGzZM+Dwsy6KqqgopKSnTKi8JTlxQQI3J9NRo3VMilAcoJHD1oqHdCJvDyXNphIvbDJKootxx4czrkawvb7gBvRoNWjIyoHNPDeY0NWHR11+joK4O/t5HsWnTJqxfvx5lZWUoLy/Ha6+9hubmZmzcuBGAaxqvtbUVf//734fd7/XXX8fixYsxe/bIk4F//etfY8mSJcjLy4PBYMAf//hHVFVV4U9/+pOfXw3hA9dj54IE4h3PlEgK9dZDQXpMJJQyCUwWOxo7zDQK4yVuupXWY4U3r4Msu0SCbxYuhNRqxcITJ7Do668R39Xly7KN6/7770dXVxd+85vfQKvVYvbs2di1a5dnt6BWq0Vzc/Ow++j1euzYsQN/+MMfRn3M3t5ePProo9DpdNBoNCgpKUFFRQUWLVrk99dDAo9bJ1GrM8LpZGmLtRfsDqcnoSuNZIUGhmFQmKzCics9qNEZKMjyErfondZjhbdprclacegQln71FWQ2fnZnPfbYY3jsscdG/betW7eOuE2j0aCvr2/Mx3vhhRfwwgsv+Kp4JMjlxEdBKhbBbHXgSk8/MuPoQPOputTVB4s72WJmLP39QkVhiivIqtYaccd8vksjTIMjWRRkhTOv12TNPncONxw4wFuARch0ScQi5LkPba2m7epe4XrrBckqGgkMIdyoZA3VC6+wLOv5TqER3vDmdZB1z86dviwHIbzwNCa0Xd0r3N+N1mOFFu79pHrhnav6ARgH7JCIGOQm0Hme4czrIIuQUOBpTKjH7pUa6q2HJC5Duc4wgB6zlefSCA+3mWZmohJSCTWz4YzefRLWBqdFqMfujWot5cgKRSp5BDJiXQcaU92YuhrKHUfcKMgiYY1blHqpy4w+q53n0giLYcCG1t5+ADSSFYpoXZb3qrV0nA5xGRZkKRQKSCT8HoshkUigUNAuJRIY8UoZ4pUysCxQ12biuziCwh2nk6qRQ6OI4Lk0xNeK6Hgdr9FIFuEMi6g0Gg2eeOKJcdMc+JtCoYBGo+Ht+Un4KUpR4VC9BTVaA+ZnRPNdHMGood56SPMk66WRrCkZsDnQ2OHqsBVR3Qh7I4atNBoNBTkkrBQmq3CovpPWnkwRnVkY2rj3tbbNCIeThZhSdExKQ7sJThaIUUQgUUXH6YQ7WpNFwh639qSajteZEhrJCm1ZcVGQR4gwYHPicpeZ7+IIRvWQszwZhgLTcEdBFgl7hZ40DkawLMtzaYTB6WQHzyykkayQJBYxKHCncqimdVmT5lmPRbnjCCjIIgQzE5UQixjo+23QGQb4Lo4gtPT0oc/qgFQsQk58FN/FIX5COwynbvDMQhrhJRRkEQKZRIzcBFegQDupJocb2chLUkIipq+RUMWNxtBI1uSwLDuYO45GsggoyCIEwJB1WdRjnxTK9B4eaCRrajpMFnSbrRAxQF4iBVmEgixCAAxZl0U99kmhMwvDA7fD8EpPPwwDNp5LE/y4epEdH4VIqZjn0pBgQEEWIRhcP0E7DCeHG9kooEXvIS0mSopktRzAYPJZMrbBEV6qF8SFgixCABSnuoKsxk4zBmwOnksT3EwWOy51uRIWF1P6hpDH1Q3qgEzs/FXX32hWKuWaJC4UZBECIFElQ1yUFA4nSz32CXCNbbJajjglJVsMdVwgfb6VgqyJXHAHWdT5IBwKsggBwDCMp8d+gXrs47rg6a1TQxIOZlG9mJQBmwMX3cfpFFPdIG4UZBHixn0xnr+q57kkwY37+1BDEh6497lWZ4TN4eS5NMGrRmeEkwXilVI6Tod4UJBFiBs3xM+N1JDRcSMaNCUSHjJiFFDKJLA6nJ6RGjIS971RlELH6ZBBFGQR4sYtVq3Wug7EJSPZHE7U6VwNLS3uDQ8iEUMdkEngRnipXpChKMgixC0n3nUgbr/NgUt0IO6oGtpNsDqcUMkkSI+J5Ls4JEAGp9IpyBqLZ4SXptHJEBRkEeImFjGeDNfUYx+dZ0okVQ2RiKZEwoVnUwjVi1E5nKwnESlNo5OhKMgiZIhZ1GMfF63HCk+e6UKtASxLU+nXauo0o9/mQGSEmA5MJ8NQkEXIEJTGYXy0szA85SUpIREx0Pfb0Nrbz3dxgg73fVGYooKYRnjJEBRkETLE4AJfPfXYr8GyLOXIClMyiRh5Sa6jYmjKcCRP54NGeMk1KMgiZIjCZDVEDNBpsqLDaOG7OEGltbcfhgE7IsQM8hLpbLZwM3TKkAx3gY7TIWOgIIuQISKlYsxIUAIAzlNjMgy3Ti0vUQWphL46wg2tVxzd0BFemkYn16JvSkKuQTmBRkcNSXijHYajazda0GW2QsQABUk0wkuGoyCLkGvMosZkVNw0Ea3HCk9ckNXa2w99n43n0gQP7nsiN0GJSKmY59KQYENBFiHXoDMMR+cZyaLFvWFJLY9ARqwrAe15LdUNDu24JeOhIIuQa3BBxKWuPpgsdp5LExx6+6yerftF1JiELZpKH4lGeMl4KMgi5BpxShmS1XIAQA0tfgcw2KhmxiqglkfwXBrCF273HAVZgwZHeGlnIRmJgixCRkFntQ1Hmd4JQGkcrmUcsOFSVx8Ami4ko6Mgi5BR0OL34SgJKQGAWWmu97+h3YQBm4Pn0vCvRuc6rzBFI0dslJTn0pBgJOgg6+WXX0ZOTg7kcjlKS0tx6NChMa89cOAAGIYZ8VNTUzPsuh07dqC4uBgymQzFxcV4//33/f0ySBDieuznaPE7gMERvSIayQpryWo5YhQRsDtZ1LUZ+S4O7863ur4fqF6QsQg2yNq+fTueeuop/PznP0dlZSWWL1+OdevWobm5edz71dbWQqvVen7y8vI8/3b06FHcf//9WL9+PU6fPo3169fjvvvuw/Hjx/39ckiQmZ3mWl9R12YM+x57n9WO+nZXgzonndadhDOGYTx142wrdUDOuP8Gc9KoXpDRCTbIev7557FhwwY88sgjKCoqwpYtW5CRkYFXXnll3PslJiYiOTnZ8yMWD+Y12bJlC9asWYPNmzejsLAQmzdvxqpVq7BlyxY/vxoSbNJjIhGjiIDNwaJWF9499gtXDXCyQJJahiT3hgASvua6A+2zVyjI4v4Gc6nzQcYgyCDLarXi5MmTWLt27bDb165diyNHjox735KSEqSkpGDVqlXYv3//sH87evToiMe86aabxn1Mi8UCg8Ew7IcIH8MwmJMeDYB67Gept06GmEMjWQAAs8WOix0mAFQ3yNgEGWR1dnbC4XAgKSlp2O1JSUnQ6XSj3iclJQWvvfYaduzYgZ07d6KgoACrVq1CRUWF5xqdTjelxwSAZ599FhqNxvOTkZExjVdGgskc9yLfcO+xc69/Tlo0vwUhQYHrfNTqwnsq/YJ2cIQ3kUZ4yRgkfBdgOhiGGfY7y7IjbuMUFBSgoKDA83t5eTlaWlrwu9/9DitWrPDqMQFg8+bN2LRpk+d3g8FAgVaI4IKKM2HeY+deP02JEABI1cgRFyVFl9mKGp0R8zOi+S4SL85Q54NMgiBHsuLj4yEWi0eMMLW3t48YiRrPkiVLUF9f7/k9OTl5yo8pk8mgVquH/ZDQwAUV4bz43TRkSmQ2TYkQcFPp3LqsXn4LwyPutVPng4xHkEGWVCpFaWkp9u7dO+z2vXv3YunSpZN+nMrKSqSkpHh+Ly8vH/GYe/bsmdJjktCRopEjXimFw8mGbfLF8616sKxr9CJBJeO7OCRIzHUH3GfCeCrds7OQgiwyDsFOF27atAnr169HWVkZysvL8dprr6G5uRkbN24E4JrGa21txd///ncArp2D2dnZmDVrFqxWK958803s2LEDO3bs8Dzmk08+iRUrVuC5557DHXfcgQ8//BD79u3D4cOHeXmNhF8Mw2BOmgb7aztw9ooeCzJj+C5SwHGLm2kUiwwV7mkcjAM2NHaYAdCidzI+wQZZ999/P7q6uvCb3/wGWq0Ws2fPxq5du5CVlQUA0Gq1w3JmWa1W/OQnP0FraysiIyMxa9YsfPrpp7jllls81yxduhRvv/02fvGLX+CXv/wlcnNzsX37dixevDjgr48Ehznp0a4gK0wbk7O0HouMYq578Xt9uwn9VgcipeLx7xBiuOS8adGRiFfSCC8Zm2CDLAB47LHH8Nhjj436b1u3bh32+zPPPINnnnlmwse85557cM899/iieCQEcNMi4brD0LOz0N2oEgK4dtQlqGToMFpwQWtAaVZ4jfIO7rilzgcZnyDXZBESKNx6i/p2I/qsdp5LE1iGARsaO2lKhIzEMMyQDkgvv4XhAa3HIpNFQRYh40hSy5GoksHJht9h0efcDUl6TCQdfktG4AKMcExxwgWW1PkgE6Egi5AJcOuRwm0nFU2JkPHMCdOpdH2fDZe6+gBQ3SAToyCLkAlwyQbDbfE7TYmQ8XABRkOHCWZL+Eyln7vqqhcZsZGIoRFeMgEKsgiZgOdA3DALsrjpwrmU0ZqMIlEtR7JaDpZFWOWRO0v1gkwBBVmETIDLCXSxwwRTmPTY9X02XKYpETKBOWE4lT6445bqBZkYBVmETCBBJUOqxtVjPx8mo1lcbz0rTgGNIoLn0pBgFY47DM+09gIYfO2EjIeCLEImIdwyXHMNCWV6J+OZHWY7DHvMVrR09wMAZlHdIJNAQRYhk8CtyzodJtMi3JQI9dbJeLip5MYOMwwDNp5L439cJys7TgFNJI3wkolRkEXIJHDHiJwJk2mRqpZeALTuhIwvXilDWnQkgPBI5XDaUy+ieS0HEQ4KsgiZhHkZ0QCAy1196DRZ+C2Mn2n1/dDqByBigHnUmJAJlGRGAwAqm3v4LUgAnHK/xgXu10zIRCjIImQSNJERyEtUAgAqm3v5LYyfca+vMFmNKJmgjzclAbAg03Vu4akQrxcsy6LSPZLFvWZCJkJBFiGTNNiYhHaP/dRld289K5rfghBBWOA+HLqyuQcsy/JcGv9p7DSjt88GmUSEohQ138UhAkFBFiGTxE2LcEFIqOKCyJIM6q2TiRWnqCGViNDTZ0OT+0DxUMTV+zlpGkgl1HSSyaFPCiGTxPXYz1zRw+5w8lwa/7DYHTjX6srezb1eQsYjlYg8uwxDecrQM1VI9YJMAQVZhEzSzAQlVHIJ+m0O1OiMfBfHLy5cNcDqcCI2SorsOAXfxSECsSAMFr97ptFp0TuZAgqyCJkkkYjBfPcuw1BtTLiRiJKMaDAMw29hiGCE+uJ3k8WOujZXx4oWvZOpoCCLkCkI9cbEs0WdpkTIFHCfl1qdISTP9zzd0gsnC6RFRyJRLee7OERAKMgiZApCPSdQ5WVu0Xs0vwUhgpKkliNVI4eTBc641y6FEq6+l9BUIZkiCrIImQJux92lrj50hVhSUp1+AFe5JKQUZJEpKskK3RQn3Mg1TRWSqaIgi5Ap0CgiMDNEk5JyjWMBJSElXgjVqXSWZT0jWTSNTqaKgixCpojbXRRqPfZKOjKETMPQHYahlJS0qdOMHncS0mJKQkqmiIIsQqaI67GH3khWLwCaEiHemZWq8SQlvdTVx3dxfIar55SElHiDPjGETBE3ZXD6Sm/IJCW12p0426oHQFMixDvDkpKG0KkItOOWTAcFWYRM0cwEJVQyCfqsDtS2hUZS0vNX9bDanYhRRFASUuI1bldqKE2lD80dR8hUUZBFyBSJRAzme9Zl9fJaFl/xNCSZMZSElHhtQVZoLX43Weyo1dExU8R7FGQR4oUSbl1WiEyLnKJF78QHuPV8oZKU9MyQJKRJlISUeIGCLEK8UOru1Z4IgSCLZVmcvETrTsj0JWvkSIuOhJMFqkJgNIur31QviLcoyCLEC6VZMRAxQHN3H7T6fr6LMy0t3f3QGQYQIWY8yVYJ8dainFgAwNdNXTyXZPq+buoGMPiaCJkqCrII8YJSJsFs904q7otYqI67G8O56dGIlIp5Lg0ROi4gOS7wemFzOHHSPZK1mIIs4iUKsgjx0qJsrscu7MaEeuvEl7jPUWVLLyx2B8+l8d65Vj36bQ7EKCIwM0HJd3GIQFGQRYiXBqdFBB5kXaIgi/jOjPgoxCulsNqdOHNFz3dxvMbV64XZsRCJaMct8Q4FWYR4aaF7JKu+3STYw6J1+gFc7uoDwwwu5idkOhiG8dQNIXdAaISX+AIFWYR4KSZKivwk1zTCN5eEucuQG8UqTlFDLY/guTQkVAh9XZbTyeIbGuElPkBBFiHTwH0Bc1/IQvMN9daJH3Cfp1OXewR59FRtmxGGATuipGI6FJpMi6CDrJdffhk5OTmQy+UoLS3FoUOHxrx2586dWLNmDRISEqBWq1FeXo7du3cPu2br1q1gGGbEz8DAgL9fChGoRTlxAICjF4W5Xf1Yo6vctHuK+FJhshpquQQmix3nrhr4Ls6UcfWiNDsWErGgm0nCM8F+erZv346nnnoKP//5z1FZWYnly5dj3bp1aG5uHvX6iooKrFmzBrt27cLJkydxww034Pbbb0dlZeWw69RqNbRa7bAfuZwy/ZLRlc9wBVnVOgN6zFaeSzM17cYB1LebwDDAYnewSIgviEUMFs8QbgfkqwZXmZfmUr0g0yPYIOv555/Hhg0b8Mgjj6CoqAhbtmxBRkYGXnnllVGv37JlC5555hksXLgQeXl5+O1vf4u8vDx8/PHHw65jGAbJycnDfggZS4JKhvwkJVh2sPcrFFzjV5yiRkyUlOfSkFDDBShHLnbyXJKpsTucON5IQRbxDUEGWVarFSdPnsTatWuH3b527VocOXJkUo/hdDphNBoRGzt8msRkMiErKwvp6em47bbbRox0XctiscBgMAz7IeFlaW48AOCIwHrsXJBFDQnxB65efHOpG1a7cNZlnb9qgNFih0ouwaxUDd/FIQInyCCrs7MTDocDSUlJw25PSkqCTqeb1GP8/ve/h9lsxn333ee5rbCwEFu3bsVHH32Ebdu2QS6XY9myZaivrx/zcZ599lloNBrPT0ZGhncvighWuUB77Ec8QVY8zyUhoSg/SYl4pRQDNieqWnr5Ls6kcfViyYw4iCk/FpkmQQZZHIYZXgFYlh1x22i2bduG//qv/8L27duRmJjouX3JkiV44IEHMG/ePCxfvhzvvPMO8vPz8eKLL475WJs3b4Zer/f8tLS0eP+CiCAtmREHEQNc7DCjzSCMTRIt3X1o7u6DRMRgIS16J37AMAzKPaO8wumAcGVdRiO8xAcEGWTFx8dDLBaPGLVqb28fMbp1re3bt2PDhg145513sHr16nGvFYlEWLhw4bgjWTKZDGq1etgPCS+ayAjPOYZCWeTLlXNeRjSUMgnPpSGhyrMuq0EY9cJqd3rSsSydSSO8ZPoEGWRJpVKUlpZi7969w27fu3cvli5dOub9tm3bhoceeghvvfUWbr311gmfh2VZVFVVISUlZdplJqGNmzL8qkEYPXaut07rsYg/cZ+vypYe9FntPJdmYpXNPRiwORGvlCIvkc4rJNMnyCALADZt2oS//OUveOONN1BdXY2nn34azc3N2LhxIwDXNN6DDz7ouX7btm148MEH8fvf/x5LliyBTqeDTqeDXj94ttavf/1r7N69G42NjaiqqsKGDRtQVVXleUxCxrLMPS1yqL4TLMvyXJrxOZ0sDjdwQRb11on/ZMYqkBYdCZuDxfHG4E/Ye6h+sF5MZukJIRMRbJB1//33Y8uWLfjNb36D+fPno6KiArt27UJWVhYAQKvVDsuZ9ec//xl2ux2PP/44UlJSPD9PPvmk55re3l48+uijKCoqwtq1a9Ha2oqKigosWrQo4K+PCMuinFjIJCLoDK7cU8HsgtaATpMVUVIxnVdI/IphGFxfkAAAOFjXwXNpJlZR7yrjivwEnktCQoWgF2M89thjeOyxx0b9t61btw77/cCBAxM+3gsvvIAXXnjBByUj4UYeIcaSGXE4WNeBg7UdyE9S8V2kMXGNXXluPKQSwfaziECsyEvAW8ebURHkQVaXyYKzra6ZjRV5NMJLfIO+YQnxEa73y/WGgxUXZF2fTw0J8b+lM12pEBo7zWjp7uO7OGM63NAJlgWKUtRIVNMpH8Q3KMgixEe4oOV4Uzf6rQ6eSzM644ANpy73AACuz0+c4GpCpk8tj0BppmtaOpinDLmyraDOB/EhCrII8ZHcBCXSoiNhtTtxrCk4t6wfudgFu5NFdpwCmXEKvotDwgQXuARrkOV0sqiocy16v57WYxEfoiCLEB9hGGawMakNzsakwjNVSA0JCRxu1PRIQ2dQHrFTrTOg02SBQipGWRYl5yW+Q0EWIT7EBS/7a9uDLpUDy7L4sqYdADw7vggJhFmpasQrpTBbHZ5kn8Hky2pXvViaG0ebQYhP0aeJEB9anpcAqViEy119aAiyVA7nrxqg1Q8gMkJM+bFIQIlEDG4sdI1m7b3QxnNpRtpX7SrT6qLxTwwhZKooyCLEh6JkEiyd6cpyvc/dOw4WX7jLszwvHvIIMc+lIeGGC2C+qGkLqlHedsMATl9xpW64sYg2gxDfoiCLEB/jGhOudxwsPL31Yuqtk8C7Ls+Vl62lux91bcEzyvuFewp9fkY0ElWUuoH4FgVZhPjYKndv+FRzDzpNFp5L46LV9+Nsqx4MA8+0DSGBpJBKcJ370OVg6oDsc09frqHOB/EDCrII8bEUTSTmpGnAsvAsNOcbN1W4IDMG8UoZz6Uh4Yob5Q2WdVl9VrvnHE9aj0X8gYIsQvyAG83acz44GpM97kZtFa05ITziPn9VLb1oMwzwXBqgoq4TFrsT6TGRyE9S8l0cEoIoyCLED9bNTgHgyktlHLDxWpYesxVH3L31m2cl81oWEt6S1HIsyIwGAHx2VstvYQDscpdh3exkMAzDc2lIKKIgixA/yE9SYmaiElaHk/f1J3su6GB3sihOUWNGAvXWCb9unZsKAPiU5yBrwObw1E2uTIT4GgVZhPgBwzC4dY5rNOvTM/w2Jp+4n//WuSm8loMQALhljms09ZtLPdDp+ZsyPFDbjj6rA2nRkZiXruGtHCS0UZBFiJ9wQU1FXSf0/fxMGXabrThy0XWO4i1zKMgi/EvRRKIsy3Vg9C4eR7O4zsdtc1NoqpD4DQVZhPhJfpIK+UnuKUOedlPtPq+Dw8liVqoaOfFRvJSBkGtxHRC+pgz7rQ7Pjlsa4SX+REEWIX506xzXWo8PT1/l5fk/rGoFQKNYJLjcMicFDAOcvNyDlu6+gD//3uo29NscyIh1pVshxF8oyCLEj+4scQVZh+s7Ar7+pKW7D8cau8EwwJ0laQF9bkLGk6SWY2mu6/ipHaeuBPz53zvpes5/mZ9GU4XEryjIIsSPsuKisCgnFk4W2FkZ2MaEa7yW5cYjLToyoM9NyETuLc0A4PqcOp2BO8tQpx/A4foOAMDdpekBe14SnijIIsTP7nF/kb934krADsZ1OllPb/0eakhIELppVjKUMglauvtxvKk7YM+749QVOFlgUU4ssuJonSLxLwqyCPGzW+akIDJCjMZOM0419wbkOY83deNKTz9UMgluogSkJAhFSsW4zb3onOsQ+BvLsthBnQ8SQBRkEeJnSpnEs/D8nW9aAvKc75xwPc9t81IQKRUH5DkJmap7y1yBzq6zWhgCcDLCics9aOw0QyEVe/LYEeJPFGQREgDfWeRaf/JBVSt6zFa/PleH0eJJgHr/wky/Phch07EgMwZ5iUr02xx474T/R7O2HrkEALh9biqiZBK/Px8hFGQREgClWTGYnaaGxe7E234ezdr2dTOsDidKMqMxPyPar89FyHQwDIOHlmUDAP529JJfF8Br9f34/JwOADzPSYi/UZBFSAAwDIOHluYAAP5x9BLsDqdfnsdqd+LNY5cBAA8tzfbLcxDiS/9Skga1XILLXX04UNfut+d589hlOJwslsyIRVGK2m/PQ8hQFGQREiC3zU1BXJQUV/UD2OOnDPCfndOi3WhBokqGdbNpzQkJfgqpBN9e5JrW/utXl/zyHAM2B9463gwAns4OIYFAQRYhASKPEOO7i12NyasHL/o8nYPTyeKVAxcBAA8syYJUQtWbCMP6JVkQMcCh+k6cvaL3+eNv/6YFPX02pEVHYnVRos8fn5Cx0LcwIQH00NJsKKRinLmi95yd5iu7z+tQozNCJZPg++XZPn1sQvwpI1aBO+a7TiXYsq/Op489YHPg5QMNAICNK3MhEVOzRwKHPm2EBFCcUoYH3QHQC/vqfDaa5XSy2LKvHgDw8HU50CgifPK4hATKj26cCREDfFHTjtMtvT573G1fN6PNYEGqRo77yig3FgksCrIICbBHV8xAlFSM81cNPlubteucFrVtRqjkEmy4jtacEOGZkaD0nLH5go9Gs/qtDrzsnkJ//MaZkEkoZxwJLAqyCAmw2CipZwv5s7uqMWBzTOvx+q0O/M9nNQCADdflQBNJo1hEmH58Yx7EIgYHajuwv3b60+kvH2hAh9GCtOhIz1mJhAQSBVmE8GDj9blIUstwqavPs1jdWy9+WY8rPf1Ii47Eoytm+KiEhARednwUfuDugPznh+en1QG52GHCqwdddeuXtxXRRhDCC/rUEcIDlTwCv7ytGADwyoGLaOo0e/U4De1G/O+hRgDAf95eDIWUslgTYXtqdT6S1XI0d/fhT/sbvHoMlmXxqw/PweZgsbIggc7vJLyhIIsQntw6JwXL8+JhdTjx1PYqWOxT67UP2Bx48u0q2BwsVhUmYk1xkp9KSkjgRMkk+M/bBzsgJy51T/kx/vrVJXzV0AWZRITffGs2GIbxdTEJmRQKsgjhCcMw+O2/zEG0IgKnW3rx648vTPq+LMviFx+cw/mrBsRGSfHfd1JDQkLHzbOTcfu8VNidLB775ym0Gwcmfd+vm7rx213VAICfritEZpzCX8UkZEKCDrJefvll5OTkQC6Xo7S0FIcOHRr3+oMHD6K0tBRyuRwzZszAq6++OuKaHTt2oLi4GDKZDMXFxXj//ff9VXxCkBGrwJb754NhgLeON+ONw02Tut9rFY147+QViBjgxe+UIDU60s8lJSRwGIbB/9w1B/lJSrQbLfi3f5yEYcA24f0a2k147J+nYHeyuGN+Kh0tRXgn2CBr+/bteOqpp/Dzn/8clZWVWL58OdatW4fm5uZRr29qasItt9yC5cuXo7KyEj/72c/w4x//GDt27PBcc/ToUdx///1Yv349Tp8+jfXr1+O+++7D8ePHA/WySBhaWZCIf1+TDwD4zScX8PzesfNnsSyL//t5DZ517yZ85uZCLJsZH7CyEhIoUTIJXn2gFCq5BJXNvbj/z8fGHdGqaunFva8eQafJgsJkFZ69aw6N7hLeCTbIev7557FhwwY88sgjKCoqwpYtW5CRkYFXXnll1OtfffVVZGZmYsuWLSgqKsIjjzyCH/zgB/jd737nuWbLli1Ys2YNNm/ejMLCQmzevBmrVq3Cli1bAvSqSLh6/IaZeGp1HgDgj1/U48E3vka11jDsmnOtejzw+nFP3p9nbi7Av9FuQhLCZiQo8fajSxCvlKFaa8CtfzyMt79uhsM52AkxWez43e5a3P/no+jps2Fuugb/fGQxbQIhQUGQn0Kr1YqTJ0/ipz/96bDb165diyNHjox6n6NHj2Lt2rXDbrvpppvw+uuvw2azISIiAkePHsXTTz894prxgiyLxQKLxeL5Xa93nbtlNBoREUH5ivhks9nQ19cHg8EgiPfiB4uSoWCseO6zGhw814yD55qRGRuJ9FgFWrr70NLdDwCIEIvw81sKcc+CRBiNRp5LPTlCey9CmdDeiwwlg60PzMJjb57Cpc4ePLPtOP6f908iP0mFAbsT9e1GWGxOAMCymXH4/X3FiHBaYDBYJnhk/gntvQh13PepL8+VFWSQ1dnZCYfDgaSk4bupkpKSoNPpRr2PTqcb9Xq73Y7Ozk6kpKSMec1YjwkAzz77LH7961+PuD0nh7Juk+lrGeP2Db8HNgS0JIQEl/Oj3PY2gLefCHRJSKjp6uqCRqPxyWMJMsjiXDvfzrLsuHPwo11/7e1TfczNmzdj06ZNnt97e3uRlZWF5uZmn71JxDsGgwEZGRloaWmBWq3muzhhjd6L4EHvRfCg9yK46PV6ZGZmIjY21mePKcggKz4+HmKxeMQIU3t7+4iRKE5ycvKo10skEsTFxY17zViPCQAymQwymWzE7RqNhipNkFCr1fReBAl6L4IHvRfBg96L4CIS+W65uiAXvkulUpSWlmLv3r3Dbt+7dy+WLl066n3Ky8tHXL9nzx6UlZV55sLHumasxySEEEIIGYsgR7IAYNOmTVi/fj3KyspQXl6O1157Dc3Nzdi4cSMA1zRea2sr/v73vwMANm7ciJdeegmbNm3Cv/7rv+Lo0aN4/fXXsW3bNs9jPvnkk1ixYgWee+453HHHHfjwww+xb98+HD58mJfXSAghhBDhEmyQdf/996Orqwu/+c1voNVqMXv2bOzatQtZWVkAAK1WOyxnVk5ODnbt2oWnn34af/rTn5Camoo//vGPuPvuuz3XLF26FG+//TZ+8Ytf4Je//CVyc3Oxfft2LF68eNLlkslk+M///M9RpxBJYNF7ETzovQge9F4ED3ovgos/3g+G9eVeRUIIIYQQAkCga7IIIYQQQoIdBVmEEEIIIX5AQRYhhBBCiB9QkEUIIYQQ4gcUZBFCCCGE+AEFWV54+eWXkZOTA7lcjtLSUhw6dGjc6w8ePIjS0lLI5XLMmDEDr776aoBKGvqm8l4cOHAADMOM+KmpqQlgiUNTRUUFbr/9dqSmpoJhGHzwwQcT3ofqhX9M9b2geuEfzz77LBYuXAiVSoXExETceeedqK2tnfB+VC/8w5v3wxd1g4KsKdq+fTueeuop/PznP0dlZSWWL1+OdevWDcvJNVRTUxNuueUWLF++HJWVlfjZz36GH//4x9ixY0eASx56pvpecGpra6HVaj0/eXl5ASpx6DKbzZg3bx5eeumlSV1P9cJ/pvpecKhe+NbBgwfx+OOP49ixY9i7dy/sdjvWrl0Ls9k85n2oXviPN+8HZ1p1gyVTsmjRInbjxo3DbissLGR/+tOfjnr9M888wxYWFg677d/+7d/YJUuW+K2M4WKq78X+/ftZAGxPT08AShe+ALDvv//+uNdQvQiMybwXVC8Co729nQXAHjx4cMxrqF4EzmTeD1/UDRrJmgKr1YqTJ09i7dq1w25fu3Ytjhw5Mup9jh49OuL6m266CSdOnIDNZvNbWUOdN+8Fp6SkBCkpKVi1ahX279/vz2KSMVC9CD5UL/xLr9cDAGJjY8e8hupF4Ezm/eBMp25QkDUFnZ2dcDgcSEpKGnZ7UlISdDrdqPfR6XSjXm+329HZ2em3soY6b96LlJQUvPbaa9ixYwd27tyJgoICrFq1ChUVFYEoMhmC6kXwoHrhfyzLYtOmTbjuuuswe/bsMa+jehEYk30/fFE3BHt2IZ8Yhhn2O8uyI26b6PrRbidTN5X3oqCgAAUFBZ7fy8vL0dLSgt/97ndYsWKFX8tJRqJ6ERyoXvjfE088gTNnzuDw4cMTXkv1wv8m+374om7QSNYUxMfHQywWjxgpaW9vH9H74CQnJ496vUQiQVxcnN/KGuq8eS9Gs2TJEtTX1/u6eGQCVC+CG9UL3/nRj36Ejz76CPv370d6evq411K98L+pvB+jmWrdoCBrCqRSKUpLS7F3795ht+/duxdLly4d9T7l5eUjrt+zZw/KysoQERHht7KGOm/ei9FUVlYiJSXF18UjE6B6EdyoXkwfy7J44oknsHPnTnz55ZfIycmZ8D5UL/zHm/djNFOuG14vmQ9Tb7/9NhsREcG+/vrr7IULF9innnqKjYqKYi9dusSyLMv+9Kc/ZdevX++5vrGxkVUoFOzTTz/NXrhwgX399dfZiIgI9r333uPrJYSMqb4XL7zwAvv++++zdXV17Llz59if/vSnLAB2x44dfL2EkGE0GtnKykq2srKSBcA+//zzbGVlJXv58mWWZaleBNJU3wuqF/7xwx/+kNVoNOyBAwdYrVbr+enr6/NcQ/UicLx5P3xRNyjI8sKf/vQnNisri5VKpeyCBQuGbQH9/ve/z15//fXDrj9w4ABbUlLCSqVSNjs7m33llVcCXOLQNZX34rnnnmNzc3NZuVzOxsTEsNdddx376aef8lDq0MNtdb725/vf/z7LslQvAmmq7wXVC/8Y7T0AwP71r3/1XEP1InC8eT98UTcY95MTQgghhBAfojVZhBBCCCF+QEEWIYQQQogfUJBFCCGEEOIHFGQRQgghhPgBBVmEEEIIIX5AQRYhhBBCiB9QkEUIIYQQ4gcUZBFCCCGE+IGE7wIQQshE9Ho9+vr6+C5G0FEoFNBoNHwXgxAyBgqyCCFBTa/X46WXXoLdbue7KEFHIpHgiSeeoECLkCBF04WEkKDW19dHAdYY7HY7jfAREsQoyCKEEEII8QMKsgghhBBC/ICCLEIIIYQQP6AgixBCCCHEDyjIIoQQP2J9dA0hRHgoyCKEhJS2xEQ893/+Dw6sWMFrORwiEQ4tWwZtSsqE1zbl5OCbsjIKtggJMRRkEUJCikUmw4BcDqNKxVsZrBEReO/uu1FcXY1UrXbC62c0NSG6pwcf3HEHHAwTgBISQgKBgixCiKA15uSgKSvL83tmSwv+/fnnceuuXbyVacddd2H+6dOI6+6e9H3yLl5EfFcXvli92o8lI4QEEgVZhBDBcohE+PKGG0bcrjSbIWL5mXw7VVICo0qFgrq6Kd+3/MgRnJs1CxdnzPBDyQghgUZBFiFEkJwAPrntNlzJyOC7KB52sRj7V67E7HPnvLq/xOlE8YUL2L9ypW8LRgjhBZ1dSAgRpIoVK9DsDrA+v/lmyAcGUHbyJOwSCU6UliKvoQErDx6EWaHA6blzUVtQAJNSiUf+8hecWLgQl7KycCU9HbPPncO6zz7D5awsXJg1C03Z2WBYFrd98glyLl8e9px1M2fi1IIFMEdFoTs2FrMuXMCavXsR4T7253xxMYxqNXIvXhxR3p7oaHx2882wSqXoiouDUa1G+ZEjuGnv3mHXZV++jGPl5WhOT0fmlSt++usRQgKBgixCiCCtrKiARq/Hh3feiZs//xw5ly+jfuZMVM6fj9b0dMxsaAAARPX1ofzYMRxfvBgWmQwXZs3C0iNHsPzwYXy5ciUqrr8efQoFyk6cwO2ffAK7SITXN2zAe/fcg6dfeAESpxMAcHruXFzKzsa9770HsdOJxpwc/OOBB6BXq/Gd7dsBANVFRWCcTsR3dY0o7zv33ovlhw+juLoaTgC7b7551NeV2N4OAKjLz6cgixCBo+lCQkjIyGtowPyqqhG3MwDUBgNkFgtKT52C2B04FV+4AABI7OhAblMTANeUXc6lSzArlehMSAAAWCIi8PlNN2Ht7t2e+85oakKyTofawkK0x8cDAK6kp0Oj13uu4fTJ5dCmpkLe3w/A9cW76osvIB8YGFFWjV4PxulEU07OtP8ehBB+0UgWISSkcFN31xJdE/gAgMxicf3PNYvkI6xWAMCATAYAaMzNhVUqxdvf/vaw66xSKTS9veiJiYFGr4dJpUKSTjfieaRWK2QDA9h511249dNPUVRbC6nNhusPHRpxrdjphNRqhV6jmfjFEkKCGgVZhJDQ4sNdhaw7Z1VXbCxkFgse/tvfxrzW4M7LFWGzjfg3idOJOz78EB/ceSe2f/vbSNZqserLL5HnntK8VoTNhj6FwgevgBDCJ5ouJISQCbAiEfqiojyB1Gi40S+HWDzqvxfX1OBHL72EshMn0J6YiH9+73ujpp8AAIZlwfCUgoIQ4jsUZBFCyASie3sBAMeWLBnxb9rkZFzOzESkxQKx3Q6rVDrm46hMJtz26af4tz//GTHd3Th03XXQq9UjrrPIZIgym31WfkIIPyjIIoQIlifh6NCjaLj/v+Z4Gna842rG+jf37bkXL0Jis+FIeTkOL1sGu8j11dkdE4PPb7oJaa2tAICktjYYRgmazJGROLRsmef3pI4OrP7iC7AikWfdF8cmFsMqlSKprW3s8hJCBIHWZBFCBEtpNAIAejUaOBgGTTk5niCnd8jCcYdIBL1Ggz6FAtaICEjd66Z6YmIAYMRoUm909LDHUPT3Y/W+ffh83TrsW70aFcuXI7K/Hwa1Gnfv2AGJwwEAyG1sxNW0NBijoqC6ZiTq0PLlSL161bOLsT0hAYltbUjo7Bx2XXdcHMAwmOG+jhAiXBRkEUIEK6epCbPPnsW+1avRkZgIqdWKI+XlAIDT8+ejMz4e9777Lv6xfj307sDpT489hnWffw5dUhKOuq+tKilBW1ISHtq6FVsfegja1FQAwKe33oqemBjceOAAlnz9NRT9/Ti8bBm64uIgdjhw54cfYrY7DQQAzD57Foeuuw5XU1NRUF8/rKxWmQz/ePBBxHZ1QWU0Qmky4Xv//OeI43+upqRA5HBg1vnz/vqzEUIChGFZWl1JCAleWq0Wr732Gt/FmLS377sPKpPJ6wOq3737bkhtNtzx0UeTuv7RRx9FSkqKV89FCPEvWpNFCCE+tHbPHtTl5cEYFTXl+xpUKjRnZmLVvn1+KBkhJNAoyCKEEB+K7e3FLZ99hn2rV0/5vvtWrcKdH3wAZV+fH0pGCAk0CrIIIcTHCurqUFRTg0PXXYfJrMdwMgwOXH895pw961kYTwgRPlr4TgghflBYW4sUrRbtiYlIch/6PJbW1FSUnjwJlckUoNIRQgKBgixCCPETjcEAjcEw4XUZ7jxbhJDQQtOFhBBCCCF+QEEWIYQQQogfUJBFCCGEEOIHFGQRQgghhPgBBVmEkKCmUCggkdAendFIJBIoFAq+i0EIGQMdq0MICXp6vR59lKBzBIVCAc2Qg7AJIcGFgixCCCGEED+g6UJCCCGEED/4/wFu5QebxcrLrQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "t = np.arange(0.0,2.5,0.01)\n",
    "s = 1 + np.sin(2 * np.pi * t)\n",
    "\n",
    "plt.figure()\n",
    "\n",
    "plt.plot(t,s)\n",
    "plt.xlabel('time(s)',labelpad=10,loc='center',fontsize=15,color='cyan',\n",
    "          fontproperties=\"Times New Roman\",backgroundcolor='grey') # 设置x轴标题\n",
    "plt.ylabel('voltage(mV)',labelpad=10,loc='center',fontsize=15,color='cyan',\n",
    "          fontproperties=\"Times New Roman\",backgroundcolor='grey')\n",
    "plt.title('about as simple as it gets,folks',fontsize=15,color='cyan',\n",
    "          fontproperties=\"Times New Roman\",backgroundcolor='grey')\n",
    "plt.xlim(left=0,right=2.5)\n",
    "plt.ylim(0,2)\n",
    "\n",
    "\n",
    "plt.grid(visible=True,which='major',axis='x')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "518c0844-7464-43c0-b01a-21548d57ba7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "t = np.arange(0.0,2.5,0.01)\n",
    "s = 1 + np.sin(2 * np.pi * t)\n",
    "\n",
    "plt.figure()\n",
    "\n",
    "plt.plot(t,s)\n",
    "plt.xlabel('time(s)',labelpad=10,loc='center',fontsize=15,color='cyan',\n",
    "          fontproperties=\"Times New Roman\",backgroundcolor='grey') # 设置x轴标题\n",
    "plt.ylabel('voltage(mV)',labelpad=10,loc='center',fontsize=15,color='cyan',\n",
    "          fontproperties=\"Times New Roman\",backgroundcolor='grey')\n",
    "plt.title('about as simple as it gets,folks',fontsize=15,color='cyan',\n",
    "          fontproperties=\"Times New Roman\",backgroundcolor='grey')\n",
    "plt.xlim(left=0,right=2.5)\n",
    "plt.ylim(0,2)\n",
    "\n",
    "\n",
    "plt.grid(visible=True,which='both',axis='both')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2785f07-5adb-498b-8875-193f23b61306",
   "metadata": {},
   "source": [
    "6.xticks() 和 yticks() 和 tick_params() 方法"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3af2ec08-b6a5-40aa-a162-165b0b57f5e0",
   "metadata": {},
   "source": [
    "更改坐标刻度"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc060b96-fa0d-4864-8c54-a011eba39c8e",
   "metadata": {},
   "source": [
    "matplotlib.pyplot.xticks(ticks=None, labels=None, **kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01267cc3-48fe-4cca-a15c-fefefe13930d",
   "metadata": {},
   "source": [
    "ticks：数字列表或数组，可选。指定x轴上刻度的位置。如果为None（默认值），则使用当前的刻度位置"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1643d101-399b-4b5c-971e-6cf3a13347a7",
   "metadata": {},
   "source": [
    "labels：字符串列表或数组，可选。与ticks参数中的位置相对应，指定每个刻度的标签。如果为None（默认值），则使用当前的刻度标签。如果提供了ticks但未提供labels，则标签将从ticks的值中自动生成（通常是转换为字符串）。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0f928c6-73bf-4d25-975d-c7dfa26d5993",
   "metadata": {},
   "source": [
    "**kwargs：其他关键字参数，这些参数将用于控制刻度标签的样式。例如，fontsize、color、rotation等。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ea71d4b2-3149-4ece-8f41-e5bcc82cdc42",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "np.random.seed(19680801)\n",
    "plt.figure(figsize=(9,8))\n",
    "\n",
    "x_data = np.arange(8)\n",
    "x_ticks = ('2013','2014','2015','2016','2017','2018','2019','2020')\n",
    "plt.xticks(x_data,x_ticks,fontproperties=\"Times New Roman\",fontsize=15)\n",
    "plt.ylim(60000,150000)\n",
    "plt.yticks(range(60000,160000,10000),fontproperties=\"Times New Roman\",fontsize=15,color='red',\n",
    "          rotation=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b60bbc1d-4bba-4c13-bb43-b779eea90ca2",
   "metadata": {},
   "source": [
    "matplotlib.pyplot.tick_params(axis='both', **kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "324aa086-ad52-4cca-be53-deed6548d18d",
   "metadata": {},
   "source": [
    "7.text() 方法"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9668685-8204-481b-9ae2-bb3a833b9693",
   "metadata": {},
   "source": [
    "添加图形内容细节的无指向型注释文本"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8b6ff29-9510-4c8b-8236-2414a322436f",
   "metadata": {},
   "source": [
    "matplotlib.pyplot.text(x, y, s, fontdict=None, **kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2c1de91-b048-4aca-ba6e-3f9d2046502a",
   "metadata": {},
   "source": [
    "x, y：这两个参数指定了文本在图表中的位置。坐标系的原点（0,0）通常位于图表的左下角，但具体位置可能受到坐标轴设置的影响。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7352749-1e4a-40d7-af8f-22f6f977f84b",
   "metadata": {},
   "source": [
    "s：这是一个字符串参数，表示你想要绘制的文本内容。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5430551-077b-4b05-bc00-0985b28d95a4",
   "metadata": {},
   "source": [
    "fontdict：这是一个字典参数，用于指定文本的字体属性。例如，你可以设置字体大小、样式、颜色等。如果不需要自定义字体属性，可以将其设置为 None（默认值）。fontdict 字典中可以包含的键有 fontsize（字体大小）、fontweight（字体粗细）、color（颜色）、family（字体族）、style（字体样式）等"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27b1bb8f-9835-4def-9e21-db02739e8a47",
   "metadata": {},
   "source": [
    "**kwargs：这是其他关键字参数的集合，允许你进一步自定义文本对象的属性。例如，horizontalalignment 或 ha 可以用来设置文本的水平对齐方式（'center', 'right', 'left'），verticalalignment 或 va 可以用来设置文本的垂直对齐方式（'center', 'top', 'bottom', 'baseline'），rotation 可以用来设置文本的旋转角度（以度为单位），bbox 可以用来给文本添加边框等。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "950f0ed5-54c3-4b0c-b031-594e7f81a899",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "np.random.seed(19680801)\n",
    "plt.figure(figsize=(9,8))\n",
    "\n",
    "x_data = np.arange(8)\n",
    "x_ticks = ('2013','2014','2015','2016','2017','2018','2019','2020')\n",
    "plt.xticks(x_data,x_ticks,fontproperties=\"Times New Roman\",fontsize=15)\n",
    "plt.ylim(60000,150000)\n",
    "plt.yticks(range(60000,160000,10000),fontproperties=\"Times New Roman\",fontsize=15,color='red',\n",
    "          rotation=15)\n",
    "\n",
    "plt.text(1.7,90000,'Test string',fontproperties=\"Times New Roman\",fontsize=15,\n",
    "        bbox=dict(facecolor='cyan',boxstyle='Square,pad=.6',alpha=.6,edgecolor='red',\n",
    "                 linewidth=2,ls='--'))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f0e1f0f-5a0b-4a7b-9b1f-e3debf899e58",
   "metadata": {},
   "source": [
    "8.axhline() 和 axvline() 方法"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9b5401d-7d74-4313-b646-1313fe5d77a5",
   "metadata": {},
   "source": [
    "matplotlib.pyplot.axhline 和 matplotlib.pyplot.axvline 是 Matplotlib 库中用于在图表上添加水平线和垂直线的函数。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3448d59a-cc00-4651-907e-bcdc24bcecf4",
   "metadata": {},
   "source": [
    "matplotlib.pyplot.axhline(y=0, xmin=0, xmax=1, **kwargs)\r",
    "3 matplotlib.pyplot.axvline(x=0, xmin=0, xmax=1, **kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5da82fba-26d0-4200-96f2-00b38da6fd27",
   "metadata": {},
   "source": [
    "y：指定水平线的 y 坐标位置（默认值为 0）\n",
    "x：指定垂直线的 x 坐标位置（默认值为 0）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e0bb743-9659-4ddb-8dd8-8aae9a69330f",
   "metadata": {},
   "source": [
    "xmin：指定水平线开始的 x 坐标位置（相对于图表的总宽度，默认值为 0，即图表的最左边）\n",
    "xmin：指定垂直线开始的 y 坐标位置（相对于图表的总高度，但在这里实际上应该是图表的总宽度，因为我们在讨论 x 轴，不过参数名保持不变，默认值为 0，即图表的最底部，但通常用于控制线在 x 轴上的延伸范围）。注意，这里的描述可能有些混淆，因为 xmin 和 xmax 在垂直线上下文中应该理解为线在 x 轴方向上的起始和结束位置（即它们控制线在图表的宽度方向上的延伸，而不是高度）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "feec76bc-6e3b-47ca-b0e0-1caccc166346",
   "metadata": {},
   "source": [
    "xmax：指定水平线结束的 x 坐标位置（相对于图表的总宽度，默认值为 1，即图表的最右边）\n",
    "xmax：指定垂直线结束的 y 坐标位置（同上，应理解为在 x 轴方向上的结束位置，默认值为 1，即图表的最顶部，但用于控制线在 x 轴上的延伸范围）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b949d902-15ea-4a50-9942-986ed4a72b85",
   "metadata": {},
   "source": [
    "**kwargs：其他关键字参数，用于设置线条的样式，如 color（颜色）、linewidth（线宽）、linestyle（线型）等\n",
    "**kwargs：其他关键字参数，用于设置线条的样式，如 color（颜色）、linewidth（线宽）、linestyle（线型）等"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "8724068f-f0f0-464b-b767-221eaf92b117",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "np.random.seed(19680801)\n",
    "plt.figure(figsize=(9,8))\n",
    "\n",
    "x_data = np.arange(8)\n",
    "x_ticks = ('2013','2014','2015','2016','2017','2018','2019','2020')\n",
    "plt.xticks(x_data,x_ticks,fontproperties=\"Times New Roman\",fontsize=15)\n",
    "plt.ylim(60000,150000)\n",
    "plt.yticks(range(60000,160000,10000),fontproperties=\"Times New Roman\",fontsize=15,color='red',\n",
    "          rotation=15)\n",
    "plt.text(1.7,90000,'Test string',fontproperties=\"Times New Roman\",fontsize=15,\n",
    "        bbox=dict(facecolor='cyan',boxstyle='Square,pad=.6',alpha=.6,edgecolor='red',\n",
    "                 linewidth=2,ls='--'))\n",
    "\n",
    "plt.axhline(y=100000,color='r')\n",
    "plt.axvline(x=5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d7aedec-6d2a-4401-ae06-a92fc4a36c45",
   "metadata": {},
   "source": [
    "9.hlines() 和 vlines() 方法"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7d9e510-815b-4a0e-a708-3fd484550d23",
   "metadata": {},
   "source": [
    "在 Matplotlib 库中，hlines() 和 vlines() 是两个非常实用的方法，它们分别用于绘制水平线段和垂直线段。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c93916b-384c-4817-bb9b-45defd3f762d",
   "metadata": {},
   "source": [
    "matplotlib.pyplot.vlines(x, ymin, ymax, colors=None, linestyles='solid', label='',→ *, data=None, **kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "78728531-e83d-43fc-b2b8-1892a1b84eff",
   "metadata": {},
   "source": [
    "x：指定垂直线段起点的 x 坐标。这可以是一个标量，表示所有线段都在同一个 x 位置开始；也可以是一个数组，为每个线段指定不同的 x 位置"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "109e50f9-1a5c-4e76-9280-74ad6818a6ae",
   "metadata": {},
   "source": [
    "ymin：指定垂直线段起点的 y 坐标。这可以是一个标量，也可以是一个与 x 同长度的数组，为每个线段指定不同的起点 y 坐标。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9debaa33-d319-4e02-a87e-f37d0d9dc8ff",
   "metadata": {},
   "source": [
    "ymax：指定垂直线段终点的 y 坐标。与 ymin 类似，这可以是一个标量或数组。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b94400a-a733-4db3-8a24-964cdeadc0ac",
   "metadata": {},
   "source": [
    "colors：指定线段的颜色。可以是单个颜色格式字符串，也可以是一个颜色序列，为每个线段指定不同的颜色。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "313b0504-e760-473a-bb77-96f27ec5134f",
   "metadata": {},
   "source": [
    "linestyles：指定线段的样式。默认为 'solid'，其他选项包括 'dashed'、'dotted'、'dashdot' 等。同样，这也可以是一个样式序列"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e410c8a2-d07d-4cfa-ba51-84dbb562cbe6",
   "metadata": {},
   "source": [
    "label：线段的标签，用于图例"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "213ed251-0119-4d87-90d5-d46072b7b24a",
   "metadata": {},
   "source": [
    "data：可选参数，指定数据集，用于从 DataFrame 或类似结构中获取 x、ymin 和 ymax 的值"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46d51ec6-704d-4d23-adc8-27fd159e7c01",
   "metadata": {},
   "source": [
    "**kwargs：其他关键字参数，用于进一步自定义线段的样式，如 linewidth（线宽）、alpha（透明度）等。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ebe49d10-8e70-4ae1-bd66-d78a6fd1294c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "np.random.seed(19680801)\n",
    "plt.figure(figsize=(9,8))\n",
    "\n",
    "x_data = np.arange(8)\n",
    "x_ticks = ('2013','2014','2015','2016','2017','2018','2019','2020')\n",
    "plt.xticks(x_data,x_ticks,fontproperties=\"Times New Roman\",fontsize=15)\n",
    "plt.ylim(60000,150000)\n",
    "plt.yticks(range(60000,160000,10000),fontproperties=\"Times New Roman\",fontsize=15,color='red',\n",
    "          rotation=15)\n",
    "\n",
    "plt.vlines(x=5,ymin=90000,ymax=120000,colors='cyan',linestyles='--')\n",
    "plt.hlines(y=110000,xmin=3,xmax=8,colors='gray')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e0bd101-af2f-4da1-80cd-559a8c6c1186",
   "metadata": {},
   "source": [
    "笔记 axvline/axhline 与 vlines/hlines 的区别\r\n",
    "axvline/axhline 绘制一条线，返回值为 Line2D 对象。vlines/hlines 绘制一组线返回值为 LineCollection 对象\r\n",
    "相当于 Line2D 对象的集合。\r\n",
    "axvline/axhline 绘制的直线默认是跨越整个子图的，即便更改线的长度，单位是子图高度/宽度的比例（[0,1]），\r\n",
    "是相对值。vlines/hlines 绘制的直线需要指定长度，长度单位是对应坐标轴的单位，是绝对值。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50d8c394-4d5f-4eed-b634-6ffa9f22a9e0",
   "metadata": {},
   "source": [
    "10.axvspan() 和 axhspan() 方法"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e96d8d3-b1bd-4cc1-8a15-6403a49fe5ce",
   "metadata": {},
   "source": [
    "matplotlib;pyplot.axhspan() 函数允许我们添加一个跨坐标轴的水平带（矩形）\r\n",
    "matplotlib;pyplot.axvspan() 函数允许我们添加一个跨坐标轴的垂直带（矩形）\r\n",
    "注：axhspan() 函数必须用 ymin 和 ymax 两个参数指定宽度，axvspan() 函数必须用 xmin 和 xmax 两个参数指\r\n",
    "定度。\r"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c4e0ea0-9a79-4285-8f23-a9f4728013df",
   "metadata": {},
   "source": [
    "matplotlib.pyplot.axvspan(xmin, xmax, ymin=0, ymax=1, **kwargs)\r",
    "matplotlib.pyplot.axhspan(ymin, ymax, xmin=0, xmax=1, **kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d93bdcc-9073-405f-af1d-8cc0509cb53d",
   "metadata": {},
   "source": [
    "xmin：填充区域开始的 x 坐标（相对于图表的宽度，0 表示最左侧，1 表示最右侧）\n",
    "ymin：填充区域开始的 y 坐标（相对于图表的高度，0 表示最底部，1 表示最顶部）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3a67997-9a7f-468c-8d30-9105d2534549",
   "metadata": {},
   "source": [
    "xmax：填充区域结束的 x 坐标\n",
    "ymax：填充区域结束的 y 坐标"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d699527-39f3-4c90-a131-41e51bd7520f",
   "metadata": {},
   "source": [
    "ymin：填充区域开始的 y 坐标（默认为 0，即图表的最底部）。注意，这里的 ymin 和 ymax 在垂直填充区域的上下文中实际上控制的是填充区域在 y 轴方向上的高度，但它们仍然被命名为 ymin 和 ymax 以保持一致性\n",
    "\n",
    "xmin：填充区域开始的 x 坐标（默认为 0，即图表的最左侧）。注意，这里的 xmin 和 xmax 在水平填充区域的左右上下文中实际上控制的是填充区域在 x 轴方向上的宽度"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9b5e7e0-f785-40b6-941b-e8ced1f74491",
   "metadata": {},
   "source": [
    "ymax：填充区域结束的 y 坐标（默认为 1，即图表的最顶部\n",
    "xmax：填充区域结束的 x 坐标（默认为 1，即图表的最右侧"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b6b4d7d-c6d5-49cd-8f61-9355adcf9c99",
   "metadata": {},
   "source": [
    "**kwargs：其他关键字参数，用于设置填充区域的样式，如 color（颜色）、alpha（透明度）等"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "cd3e1026-6842-41c7-b4da-6a95d107a09c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "np.random.seed(19680801)\n",
    "plt.figure(figsize=(9,8))\n",
    "\n",
    "x_data = np.arange(8)\n",
    "x_ticks = ('2013','2014','2015','2016','2017','2018','2019','2020')\n",
    "plt.xticks(x_data,x_ticks,fontproperties=\"Times New Roman\",fontsize=15)\n",
    "plt.ylim(60000,150000)\n",
    "plt.yticks(range(60000,160000,10000),fontproperties=\"Times New Roman\",fontsize=15,color='red',\n",
    "          rotation=15)\n",
    "\n",
    "plt.axhspan(ymin=100000,ymax=120000,facecolor='y',alpha=0.3)\n",
    "plt.axvspan(xmin=6.0,xmax=8.0,facecolor='m',alpha=0.3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43a574dc-f6c1-4f5a-9541-362c76d8b973",
   "metadata": {},
   "source": [
    "11.annotate() 方法"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c09743b-eaf4-48b9-9f1c-7a6149838804",
   "metadata": {},
   "source": [
    "annotate 函数作用是根据 x，y 坐标向图像添加文本注解。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8e0ecc1-0231-49d2-afe3-f59f32073f89",
   "metadata": {},
   "source": [
    "matplotlib.pyplot.annotate(text, xy, *args, **kwargs))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c46fc810-63dd-4f02-a8ce-826cf73a4400",
   "metadata": {},
   "source": [
    "text：要添加的注释文本v"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54414153-994b-4a54-b0e7-05320290ea41",
   "metadata": {},
   "source": [
    "xy：一个元组，指定注释文本所指向的点（即箭头或文本的基准点）的坐标 (x, y"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5e8c88d-2512-4902-8277-f61525986b6f",
   "metadata": {},
   "source": [
    "*args：这些是可变参数，通常用于指定文本框的左下角或右下角的坐标（取决于 xycoords 和 textcoords 参数的设置）。然而，annotate 函数的灵活性允许这些参数以多种方式被解释，因此建议查阅官方文档以获取详细信息。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5060d98b-9716-41d1-997e-1d77859ba692",
   "metadata": {},
   "source": [
    "**kwargs：这些是关键字参数，用于自定义注释的各个方面，如箭头样式、文本框样式、文本对齐方式等"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "9d9210f4-a3df-4ec5-884a-0f8df2f8ec65",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "x = np.linspace(0,10,10000)\n",
    "y1 = np.sin(x)\n",
    "y2 = np.cos(x)\n",
    "\n",
    "plt.figure(figsize=(10,7))\n",
    "plt.plot(x,y1,ls='--',lw=2,c='c',label='sin(x)')\n",
    "plt.plot(x,y2,ls=':',lw=2,c='c',label='con(x)')\n",
    "\n",
    "\n",
    "plt.annotate('annotate',xy=(3.85,-.67),xytext=(6,-.25),backgroundcolor='grey',\n",
    "            fontproperties=\"Times New Roman\",fontsize=15,\n",
    "            arrowprops=dict(arrowstyle='->',color='black',))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f991c3c-8147-4e01-b3ad-0d322fc184ed",
   "metadata": {},
   "source": [
    "12.legend() 方法"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2e6634f-fb61-4c3c-9982-509e3c97d804",
   "metadata": {},
   "source": [
    "matplotlib 可以为可见对象（Artist，比如线条、形状）添加图例（legend）。官方建议使用 pyplot 模块的 legend\r\n",
    "函数简便的创建图例，而不是使用底层的 matplotlib.legend 类构造图例。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef186cf1-80b3-4375-9eb7-c2c4b4b64bb3",
   "metadata": {},
   "source": [
    "matplotlib.pyplot.legend(*args, **kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3de4d59-8bc3-455d-95f8-aad9b5ff5f7d",
   "metadata": {},
   "source": [
    "*args：这些是可变参数，通常用于指定图例的标签（labels）和/或要包含在图例中的艺术家（artists，如线条、散点等）。如果只有一个参数，它通常是一个字符串列表，每个字符串对应一个数据系列的标签。如果有两个参数，第一个参数通常是艺术家，第二个参数是对应的标签列表。然而，legend 函数非常灵活，允许以多种方式调用。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c10a42d-5144-49fd-ab08-5ae6db4f5aac",
   "metadata": {},
   "source": [
    "**kwargs：这些是关键字参数，用于自定义图例的各个方面，如位置、大小、边框、字体等。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "c3a26ab4-5b19-44a8-ac6d-796d67526f24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "AttributeError",
     "evalue": "'int' object has no attribute 'axes'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[45], line 44\u001b[0m\n\u001b[0;32m     40\u001b[0m p4 \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39mscatter(x[\u001b[38;5;241m2\u001b[39m:],y[\u001b[38;5;241m2\u001b[39m:],marker\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mD\u001b[39m\u001b[38;5;124m'\u001b[39m,color\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mg\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m     42\u001b[0m plt\u001b[38;5;241m.\u001b[39mlegend([p3,p4],[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlabel\u001b[39m\u001b[38;5;124m'\u001b[39m,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlabel1\u001b[39m\u001b[38;5;124m'\u001b[39m],loc\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlower right\u001b[39m\u001b[38;5;124m'\u001b[39m,scatterpoints\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m---> 44\u001b[0m plt\u001b[38;5;241m.\u001b[39mgca()\u001b[38;5;241m.\u001b[39madd_artist(\u001b[38;5;241m11\u001b[39m)\n",
      "File \u001b[1;32mD:\\anaconda3\\Lib\\site-packages\\matplotlib\\axes\\_base.py:2223\u001b[0m, in \u001b[0;36m_AxesBase.add_artist\u001b[1;34m(self, a)\u001b[0m\n\u001b[0;32m   2210\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21madd_artist\u001b[39m(\u001b[38;5;28mself\u001b[39m, a):\n\u001b[0;32m   2211\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m   2212\u001b[0m \u001b[38;5;124;03m    Add an `.Artist` to the Axes; return the artist.\u001b[39;00m\n\u001b[0;32m   2213\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m   2221\u001b[0m \u001b[38;5;124;03m    ``ax.transData``.\u001b[39;00m\n\u001b[0;32m   2222\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m-> 2223\u001b[0m     a\u001b[38;5;241m.\u001b[39maxes \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\n\u001b[0;32m   2224\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_children\u001b[38;5;241m.\u001b[39mappend(a)\n\u001b[0;32m   2225\u001b[0m     a\u001b[38;5;241m.\u001b[39m_remove_method \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_children\u001b[38;5;241m.\u001b[39mremove\n",
      "\u001b[1;31mAttributeError\u001b[0m: 'int' object has no attribute 'axes'"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "font1 = {\n",
    "    'family':'Times New Roman',\n",
    "    'weight':'normal',\n",
    "    'size':15,\n",
    "}\n",
    "\n",
    "x = np.linspace(0,10,10000)\n",
    "y1 = np.sin(x)\n",
    "y2 = np.cos(x)\n",
    "y3 = np.sin(x) + np.cos(x)\n",
    "\n",
    "plt.figure(figsize=(10,7))\n",
    "line1, = plt.plot(x,y1,ls='-.',lw=2,c='c',label='sin(x)') \n",
    "line2, = plt.plot(x,y2,ls=':',lw=2,c='r',label='cos(x)')\n",
    "line3, = plt.plot(x,y3,ls='--',lw=2,c='b',label='sin(x)+cos(x)')\n",
    "\n",
    "plt.annotate('annotate',xy=(3.85,-.67),xytext=(6,-.25),backgroundcolor='grey',\n",
    "            fontproperties=\"Times New Roman\",fontsize=15,\n",
    "            arrowprops=dict(arrowstyle='->',color='black',))\n",
    "plt.legend(loc=2,prop=font1,fancybox=False,shadow=True,labelcolor='markerfacecolor',\n",
    "           facecolor='white',title='Legend',bbox_to_anchor=(1,1))\n",
    "\n",
    "plt.show()\n",
    "\n",
    "\n",
    "# 多图例\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "x = np.random.uniform(-1,1,4)\n",
    "y = np.random.uniform(-1,1,4)\n",
    "p1, = plt.plot([1,2,3])\n",
    "p2, = plt.plot([3,2,1])\n",
    "l1 = plt.legend([p2,p1],[\"line2\",\"line1\"],loc='upper left')\n",
    "\n",
    "p3 = plt.scatter(x[0:2],y[0:2],marker='D',color='r')\n",
    "p4 = plt.scatter(x[2:],y[2:],marker='D',color='g')\n",
    "\n",
    "plt.legend([p3,p4],['label','label1'],loc='lower right',scatterpoints=1)\n",
    "\n",
    "plt.gca().add_artist(11)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "42064907-1d99-412b-9d7c-33478df6cba8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
